84 TREDENCE INC JOBS

Job DescriptionRole requires experience in delivering end-to-end data driven applications leveraging modern tools and technologies with focus on architecture, solutioning, and design aspects in the end-to-end data management.Mandatory Skills:Cloud (AWS / Azure / GCP), Databricks, Spark, PySpark, SQL & Data Warehouse What we look for:Total 12+ years of experience in delivering data driven applications using Big Data technologies such as Spark, Kafka, Cloud, Data Lakes, Data Warehouse in a customer-facing, technical architecture, or consulting role.Minimum of 6+ years of experience working on Big Data Architectures independently.Minimum 5+ years of experience working with any database/data warehouse platforms such as Oracle, Teradata, Snowflake, Red Shift etc.Strong experience working in the Databricks ecosystem.Comfortable writing code in either Python or Scala.Experience working across Cloud Platforms (GCP / AWS / Azure)Documentation and white-boarding skills.Experience working with clients and managing conflicts.Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.Experience building data engineering solutions covering ingestion, integration and provisioning using either tools or open standards. Experience conducting rapid prototypes or proof of concept for picking right tool or service for a specific functional / non-functional requirement.Experience with developing data platforms architecture in one or more of the Cloud platforms – Azure, GCP and AWSExperience gathering technology requirements from different stakeholders and translating to optimal design.Experience building solutions / frameworks / accelerators or automation experience in data management projects.Familiarity with different services and respective performance and cost implications in one or more Cloud platformsExperience with Optimizing different data & ML pipelines for performance, cost and reusability.Worked with modern ETL and Data Movement tools for different patterns – real-time, near real-time and batch.Strong knowledge of continuous integration, static code analysis and test-driven development Experience in delivering projects in a highly collaborative delivery model with teams onsite and offshore. Ability to iteratively design and develop solutions from a concept / idea.Able to work in a rapidly changing business environment and adapt to the fast-paced environment quickly.Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations. Impact you will have (Roles & Responsibilities):You will work on a variety of impactful customer technical projects which may include building reference architectures, how to do and production grade MVP’s.Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications.Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation, and adoption of Databricks & Data Engineering.Ideate, design, develop and deliver data engineering solutions and accelerators with the clear objective of helping our clients generate more value from less.Architect data management platform one or more Cloud platform based on functional and non-functional requirements.Review the architecture, solution and design against set parameters and provide recommendations.Work with internal stakeholders and client teams in defining robust technology standards, guidelines, and best practices.Estimate cost of the platform and cost of ownership with some reasonable assumptionsOptimize the data pipelines for performance and cost.Rationalize design decisions with objective proof points.Work with different stakeholders such as IT leadership on solution design and architecture About Tredence:Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 2,200+ employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and India (Bangalore, Pune, Chennai, Gurugram & Kolkata), with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 11 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base.Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in Kolkata. In 2023, we also plan to hire more than 1000 employees across markets. Tredence is a Great Place to Work (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance.At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible.

Data Governance - ManagerLocation – (Bangalore, Gurugram, Pune, Chennai, Kolkata)Experience – 10+ YearsData Governance Lead is responsible to build and support the tools & technology required to enable an Enterprise Data Governance program.Responsibilities:Act as a primary contributor for the tool implementation of Data governance programsBuild and support solutions for Data governance in popular tools like Collibra, Informatica, Alation, etc. to enable data cataloging, meta data management, and data lineage of the enterprise’s applications and data sources.Enable enterprise level integration of metadata stores for the business users to search and understand information by developing standard business glossaries and data dictionariesSupport in implementing a solution for Data Cataloging with a Data governance tool to establish clear data ownership along with access control managementBuild custom integrations between the Data governance tool and various data stores to map and view data lineageSupport the enterprise in migrating from existing (and different) data sources like SharePoint, Excel, etc. to a Data Governance toolSupport in implementing a Workflow management system to optimize, improve, and automate the Data Governance workflows for the data stewards to increase output, eliminate repetition, and reduce errorsImplement the means to track, investigate and correct data quality issues in a Data Governance tool and support in setting up data quality rules for data validation and standardizationExperience & Skills Required:Degree in Information Technology, Computer Science, or other related fields or an equivalent combination of education and experience3+ years of hands-on experience utilizing tools like #Collibra, #Informatica, #Alation, etc to implement Data governance programs5+ years of experience in data management space under any areaStrong problem solving and analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracyProven ability to work with business stakeholders and leaders to identify and align on workable business solutions to data privacy requirements and challengesKnowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protectionDemonstrated consulting skills, with change management concepts and strategies.Certifications on these tools is a plus

Have Implemented and Architected solutions on Google Cloud Platform using the components of GCPExperience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.Experience programming in Java, Python, etc.Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.Certified in Google Professional Data Engineer/ Solution Architect is a major Advantage Skills Required:5-15 years’ experience in IT or professional services experience in IT delivery or large-scale IT analytics projectsCandidates must have expertise knowledge of Google Cloud Platform; the other cloud platforms are nice to have.Expert knowledge in SQL development.Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc).Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.Experience programming in Java, Python, etc.Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutionsAdvanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasetsJob Location - Bangalore ,Chennai, Gurgaon, Kolkata, Pune. Experience - 5-15 Years (Senior Software Engineer / Associate Manager / Manager / Sr. Manager)Joining Time required - Immediate to Max 30 Days.

We are seeking an experienced professional who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential.Roles and Responsibilities:Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure StackAbility to provide solutions that are forward-thinking in data engineering and analytics spaceCollaboration with DW/BI leads to understanding new ETL pipeline development requirements.Triage issues to find gaps in existing pipelines and fix the issues.Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs.Help joiner team members to resolve issues and technical challenges.Drive technical discussion with client architect and team members.Orchestrate the data pipelines in scheduler via Airflow.Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure StackAbility to provide solutions that are forward-thinking in data engineering and analytics space.Collaboration with DW/BI leads to understanding new ETL pipeline development requirements.Triage issues to find gaps in existing pipelines and fix the issues.Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs.Help joiner team members to resolve issues and technical challenges.Drive technical discussion with client architect and team members.Orchestrate the data pipelines in scheduler via Airflow.Skills and Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.Deep understanding of Star and Snowflake dimensional modelling.Strong knowledge of Data Management principlesGood understanding of Databricks Data & AI platform and Databricks Delta Lake ArchitectureShould have hands-on experience in SQL, Python and Spark (PySpark)Candidate must have experience in AWS/ Azure stackDesirable to have ETL with batch and streaming (Kinesis).Experience in building ETL / data warehouse transformation processesExperience with Apache Kafka for use with streaming data / event-based dataExperience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)Experience working with structured and unstructured data including imaging & geospatial data.Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshootDatabricks Certified Data Engineer Associate/Professional Certification (Desirable).Should have experience working in Agile methodology.Job Description:10+ Years of experience in Data & Analytics with Good Communication and presentations skills.At least 2 years' experience in Databricks implementations, 2 large scale data warehouse end-to- end implementation experience.Must have Databricks certified architect.Proficiency in SQL and experience with scripting languages (e.g., Python, spark, Pyspark) for data manipulation and automation.Solid understanding of cloud platforms (AWS, Azure, GCP) and their integration with Databricks.Familiarity with data governance and data management practices. exposure to Data sharing, unity catalog, DBT, replication tools, performance tuning will be added advantage / must have skills.About Tredence:Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and Southeast Asia. Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees.Visit our website for more details: https://www.tredence.com/

About Tredence:Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects.Mandatory Skills : Azure Databricks, Azure Data Factory, Azure Delta Lake, Pyspark.Experience Range - 5 years to 12 years.Location - Bangalore, Chennai, Gurgaon, Pune, KolkataRole Description:? Developing Modern Data Warehouse solutions using Databricks and Azure Stack? Ability to provide solutions that are forward-thinking in data engineering and analytics space? Collaborate with DW/BI leads to understand new ETL pipeline development requirements.? Triage issues to find gaps in existing pipelines and fix the issues? Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs? Drive technical discussion with client architect and team members? Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications:? Bachelor's and/or master’s degree in computer science or equivalent experience.? Must have total 9+ yrs. of IT experience experience in Data warehouse/ETL projects.? Deep understanding of Star and Snowflake dimensional modelling.? Strong knowledge of Data Management principles? Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture? Should have hands-on experience in SQL, Python and Spark (PySpark)? Candidate must have experience in Azure stack? Desirable to have ETL with batch and streaming (Kinesis).? Experience in building ETL / data warehouse transformation processes? Experience with Apache Kafka for use with streaming data / event-based data? Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)? Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)? Experience working with structured and unstructured data including imaging & geospatial data. ? Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.? Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot? Databricks Certified Data Engineer Associate/Professional Certification (Desirable).? Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects? Should have experience working in Agile methodology? Strong verbal and written communication skills.? Strong analytical and problem-solving skills with a high attention to detail.Mandatory SkillsAzure Databricks, Azure Data Factory, Azure Delta Lake, Pyspark.Job Location - Bangalore , Chennai , Pune , Gurgaon , KolkataNotice Period Preferred - Immediate to 30 days

About Tredence: Tredence is a global analytics service and solutions company. We are one of the fastest-growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost-effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.A candidate for this role would be expected to take the ownership of the task and come up with a full stack solution which could be production ready going forward. Further, the candidate would be expected to be a fast learner.Minimum Experience : 5+ Years• Good at DS/Algo• Having 5+yrs of work experience in Full stack Development.• Good at System design use cases• Understand microservice architecture and good programming practices.• Have good experience in HTML/CSS with either Bootstrap/ Material framework.• Have exposure to any cloud ecosystems, preferrable to be Azure ecosystem.• Nice to have chart library experience such as Echarts, chart js , leaflet or d3js etc.• Nice to have chart library experience such as Echarts, chart js , leaflet or d3js etc.• Have knowhow of Database modelling and Basics of SQL• Have experience in Oauth2, Asynchronous Programming• Have good experience in writing unit test cases.

Job Requirements: • Experience level 3 to 5 years • In-depth knowledge of JavaScript, CSS3, HTML5, and front-end languages. • Knowledge of React.js, Webpack, Enzyme, Redux, and Flux. • Knowledge of Angular, Material UI, Bootstrap. • Experience with responsive user interface design. • Knowledge of performance testing frameworks including Mocha and Jest. • Experience with browser-based debugging and performance testing • Strong grasp of computer science fundamentals and excellent problem-solving skills • Good understanding of software engineering practices, SDLC. • Good communication skills. • Strong sense of ownership and accountability. • Excellent communication and teamwork skills Roles & Responsibilities: • Meeting with the development team to discuss user interface ideas and applications. • Reviewing application requirements and interface designs. • Developing and implementing highly responsive user interface components using react concepts. • Troubleshooting interface software and debugging application codes. • Monitoring and debugging application performance. • Documenting application changes and developing updates • Writes high quality code & unit tests, builds, tests as per agreed timelines • Keeps key stakeholders informed about progress and problems; avoids surprises. • Organizes and expresses ideas clearly and concisely

Job summary:We are looking for a Training professional from Learning & Development and Technical Training background with 2 to 3 years of experience in executing and monitoring end-to-end training programmes. The position requires knowledge of executing trainings for North America region an also demands working in US/UK time zones when required. Job Responsibilities: Program ExecutionInvite signups/nominations and confirm participation.Manage training programs using MS Teams, zoom etc.Capture attendance and feedback for the training programs and evaluate patterns.Analyze and Create learning reports to be shared with the Leadership teams. Ready to work in US shifts as and when needed. LogisticsBook calendars well in advance for the training programs Work with Admin team to ensure external training partners are onboarded smoothly.Ensure seamless program implementation to achieve timelines. Working with US/UK stakeholders

ResponsibilitiesDeveloping, building and updating financial models analyzing the economic merits and risks associated with potential transactionsCollaborating with executive management, business development, delivery and enabling function professionals within the company to develop appropriate assumptions for financial modelsLead and/or support due diligence processes for M&A transactionsCreate presentations for review of potential transactions and other internal documents for reporting to executive management, the Board of Directors and private equity sponsorsMaintain databases of potential targets and investment bankers to ensure they are currentRequired Skills4 – 6 years of M&A experience, with a specific record of accomplishment of buyside deals, including coordinating due diligence and financial modelingAbility to understand business model drivers and identify potential risks/problem areasMust possess a strong work ethic, and demonstrate attention to detail and accuracyExcellent financial modeling skills using Excel with substantive experience developing and managing complex modelsFamiliarity with M&A processes, documentation and artifactsStrong organizational skills, with an ability to manage projects with multiple internal and external participants, and multi-task without losing track of various workstreamsExcellent written and verbal communication skillsCritical thinking skills with the ability to identify and solve complex problemsStrong interpersonal skills with the desire to work in a fast-paced, entrepreneurial environment and to meet deadlines and complete time-sensitive dutiesProclivity for upholding the highest standards of integrity and ability to use discretion in handling confidential information Willingness to maintain a schedule that has sufficient overlap with U.S. Eastern Time

About the Role: We are seeking a proactive and highly organized Executive Assistant to provide comprehensive support to our key executives in India. The successful candidate will be responsible for managing their expenses, coordinating travel arrangements, and maintaining their calendars. This role requires excellent communication skills, attention to detail, and the ability to prioritize tasks effectively. Responsibilities: • Manage the expenses, travel arrangements, and calendars for key executives in India. • Coordinate and schedule meetings, appointments, and travel itineraries.• Prepare and process expense reports, ensuring accuracy and adherence to company policies. • Act as a liaison between the executives and internal/external stakeholders, including clients, vendors, and team members. • Handle confidential information with discretion and professionalism. Requirements: • 5-8 years of Industry experience • 3 or more years of experience as an Executive Assistant or similar role, supporting senior executives in a corporate environment. • Excellent organizational and time management skills, with the ability to prioritize tasks effectively. • Strong communication skills, both written and verbal. • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). • Detail-oriented and able to maintain a high level of accuracy. • Flexibility to adapt to changing priorities and work effectively under pressure

We are seeking an experienced professional who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential.Roles and Responsibilities:Design and implement scalable and efficient data storage solutions using Snowflake.Write, optimize, and troubleshoot SQL queries within the Snowflake environment.Ability to provide solutions that are forward-thinking in data engineering and analytics spaceCollaboration with DW/BI leads to understanding new ETL pipeline development requirements.Triage issues to find gaps in existing pipelines and fix the issuesWork with business to understand the need in reporting layer and develop data model to fulfill reporting needsHelp joiner team members to resolve issues and technical challenges.Drive technical discussion with client architect and team membersOrchestrate the data pipelines in scheduler via AirflowIntegrate Snowflake with various data sources and third-party tools.Ability to provide solutions that are forward-thinking in data engineering and analytics spaceCollaboration with DW/BI leads to understanding new ETL pipeline development requirements.Triage issues to find gaps in existing pipelines and fix the issuesWork with business to understand the need in reporting layer and develop data model to fulfill reporting needsHelp joiner team members to resolve issues and technical challenges.Drive technical discussion with client architect and team membersOrchestrate the data pipelines in scheduler via AirflowSkills and Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.Deep understanding of Star and Snowflake dimensional modelling.Strong knowledge of Data Management principlesGood understanding of Databricks Data & AI platform and Databricks Delta Lake ArchitectureShould have hands-on experience in SQL, Python and Spark (PySpark)Candidate must have experience in AWS/ Azure stackDesirable to have ETL with batch and streaming (Kinesis).Experience in building ETL / data warehouse transformation processesExperience with Apache Kafka for use with streaming data / event-based dataExperience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)Experience working with structured and unstructured data including imaging & geospatial data.Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshootDatabricks Certified Data Engineer Associate/Professional Certification (Desirable).Should have experience working in Agile methodology.Job Description:10+ Years of experience in Data & Analytics with Good Communication and presentations skills.At least 2 years' experience in Snowflake implementations, 2 large scale data warehouse end-to- end implementation experience.Must have Databricks certified architect.Proficiency in SQL and experience with scripting languages (e.g., Python, spark, Pyspark) for data manipulation and automation.Solid understanding of cloud platforms (AWS, Azure, GCP) and their integration with various data tools.Familiarity with data governance and data management practices. exposure to Data sharing, unity catalog, DBT, replication tools, performance tuning will be added advantage / must have skills.About Tredence:Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and Southeast Asia. Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees.Visit our website for more details: https://www.tredence.com/

Responsibilities:Requirements Gathering: Collaborate with stakeholders to gather and understand business requirements related to Salesforce implementation.System Design and Configuration: Design and configure Salesforce solutions based on identified business requirements, leveraging declarative tools and customization. Ability to configure Roles, Profiles, Permission Sets, Sharing Rules, Public Groups etc. Creation of new Objects, Fields, Validation Rules, Page layouts, Lookup relationships etc. Configure approval processes, reports, and dashboards.Custom Development: Lead custom development efforts (building complex workflows, lightning app building, customize experience cloud, configure/create notifications), ensuring alignment with business needs.Integration Management: Develop and manage integrations between Salesforce and other enterprise systems.Data Management: Understand data flow, structure, and mapping. Ensuring data integrity and completeness.Testing and Quality Assurance: Develop and execute test plans to ensure the quality of Salesforce solutions, troubleshoot issues, and coordinate user acceptance testing.User Training and Support: Conduct user training sessions and provide ongoing support to ensure successful adoption of Salesforce within the organization.Documentation: Create and maintain comprehensive documentation of Salesforce configurations, customizations, integrations, and processes.Collaboration: Collaborate with cross-functional teams to optimize the use of Salesforce in various business processes.Stay Informed: Stay abreast of the latest Salesforce features, updates, and best practices to continuously enhance system capabilities.Qualifications:Bachelor’s degree in computer science, Information Systems, or a related field.Salesforce Certified Administrator and Salesforce Certified Platform App Builder will be preferred.Proven experience as a Salesforce Techno-Functional Consultant in a similar role. Good understanding of Salesforce Sales Cloud, Service Cloud, Pardot (Marketing Cloud) and Experience Cloud. Experience in visual basic coding.Experience with Lightning components and Salesforce Lightning platform.Strong understanding of Salesforce configurations, customizations, and integration concepts.Excellent communication and interpersonal skills.Ability to translate business requirements into technical solutions.Certification of Salesforce Sales Cloud or Service Cloud will be an advantage.

As a Data Science Solution Architect at Tredence, you will lead the design and development of data science solutions that leverage advanced analytics, machine learning, and artificial intelligence to address complex business challenges. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions. Your role will encompass various responsibilities, including but not limited to the following:Key Responsibilities:Solution Design: Architect end-to-end data science solutions, including data ingestion, processing, modeling, and deployment, to address specific business problems.Technical Leadership: Provide technical leadership and guidance to data scientists and engineers, ensuring alignment with best practices and industry standards.Data Strategy: Collaborate with stakeholders to define data strategies, including data acquisition, data transformation, and data governance. Model Development: Lead the development of machine learning, Generative AI and statistical models to extract insights and predictions from data.Scalability: Design solutions that can scale to handle large volumes of data and evolving business needs.Cloud Platforms: Work with cloud platforms such as AWS, Azure, or GCP to design and implement data solutions.Data Integration: Integrate data from various sources, both structured and unstructured, to create comprehensive datasets for analysis.Security and Compliance: Ensure data security and compliance with data privacy regulations throughout the data science process.Documentation: Maintain detailed documentation of architecture, data flows, and best practices.Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.Qualifications:Bachelor's or Master's degree or Ph.D. in computer science, data science, or a related field.Proven experience as a Data Science Solution Architect or a similar role.Strong knowledge of data science, machine learning, and artificial intelligence concepts.Proficiency in programming languages such as Python, R, or Java.Experience with data visualization tools, libraries and frameworks.Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms.Excellent problem-solving and communication skills.Ability to work collaboratively in cross-functional teams.Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect) a plus.

About Tredence: Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and South East Asia.We are seeking an experienced data scientist who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential.Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees.We are hiring for experience level across 3 to 8 years.Primary Roles and Responsibilities: ? Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack? Ability to provide solutions that are forward-thinking in data engineering and analytics space? Collaborate with DW/BI leads to understand new ETL pipeline development requirements.? Triage issues to find gaps in existing pipelines and fix the issues? Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs? Help joiner team members to resolve issues and technical challenges.? Drive technical discussion with client architect and team members? Orchestrate the data pipelines in scheduler via AirflowSkills and Qualifications: ? Bachelor's and/or master’s degree in computer science or equivalent experience.? Deep understanding of Star and Snowflake dimensional modelling.? Strong knowledge of Data Management principles? Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture? Should have hands-on experience in SQL, Python and Spark (PySpark)? Candidate must have experience in AWS/ Azure stack? Desirable to have ETL with batch and streaming (Kinesis).? Experience in building ETL / data warehouse transformation processes? Experience with Apache Kafka for use with streaming data / event-based data? Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)? Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)? Experience working with structured and unstructured data including imaging & geospatial data.? Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.? Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot? Databricks Certified Data Engineer Associate/Professional Certification (Desirable).? Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects? Should have experience working in Agile methodology? Strong verbal and written communication skills.? Strong analytical and problem-solving skills with a high attention to detail.

Job Description: We are seeking a skilled and experienced Java Developer with expertise in Apache Camel to join our dynamic team. The successful candidate will be responsible for designing, developing, and maintaining Java-based applications with a focus on Camel integration. If you have a passion for software development, a strong background in Java, and hands-on experience with Camel, we encourage you to apply. Responsibilities:Design and develop scalable, high-performance Java applications using Apache Camel for integration purposes.Collaborate with cross-functional teams to define, design, and implement new features and enhancements.Write clean, well-designed, and efficient code while adhering to software development best practices.Work closely with architects and other developers to understand system requirements and ensure successful implementation.Troubleshoot, debug, and resolve software defects and issues in a timely manner.Participate in code reviews to maintain code quality and ensure adherence to coding standards.Stay up to date with the latest industry trends, technologies, and best practices.Requirements:Bachelor’s degree in computer science, Engineering, or a related field.Proven 5-8 years of experience in Java development with a focus on Camel integration.Strong knowledge of Java programming language and object-oriented design principles.Hands-on experience with Apache Camel for building enterprise integration solutions.Experience with Spring Framework and related technologies.Proficiency in using build tools such as Maven or Gradle.Knowledge of relational databases (e.g., MySQL, PostgreSQL) and proficiency in SQL.Strong knowledge on architecture and java based applications.Familiarity with web application development and technologies (e.g., Servlets, JSP, HTML, CSS, JavaScript).Experience with version control systems, preferably Git.Excellent problem-solving and debugging skills.Experience with messaging systems such as Apache Kafka or ActiveMQ.Solid understanding of RESTful web services and API design.Familiarity with microservices architecture and containerization (Docker, Kubernetes).Excellent problem-solving and debugging skills.Strong communication and collaboration skills.Should have team management skills.Preferred Qualifications:Certification in Apache Camel or related technologies.Experience with other integration frameworks or ESBs.Knowledge of Agile/Scrum methodologies.Familiarity with continuous integration and continuous deployment (CI/CD) practices

Job Title - GCP Data EngineerLocation - Bangalore, Chennai, Gurgaon, Pune, KolkataHybrid role (i.e. WFO - Monday, Tuesday; Thursday; WFH - Wednesday and Friday)Must have skills - GCP DE, Cloud compressor /Python, Big query, Google Cloud functions, Dataflow+PUB/SUB, Dataproc+pyspark, Python injectionHere is the job description for the same -Job Requirement:Have Implemented and Architected solutions on Google Cloud Platform using the components of GCPExperience with Google Dataflow in creating end to end data pipelines.Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.Experience programming in Java, Python, etc.Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.Certified in Google Professional Data Engineer/ Solution Architect is a major AdvantageSkills Required:5-12 years’ experience in IT or professional services experience in IT delivery or large-scale IT analytics projectsCandidates must have expertise knowledge of Google Cloud Platform; the other cloud platforms are nice to have.Expert knowledge in SQL development.Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc).Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.Experience programming in Java, Python, etc.Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutionsAdvanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets

Data Governance - ManagerLocation – (Bangalore, Gurugram, Pune, Chennai, Kolkata)Experience – 10+ YearsData Governance Lead is responsible to build and support the tools & technology required to enable an Enterprise Data Governance program.Responsibilities:Act as a primary contributor for the tool implementation of Data governance programsBuild and support solutions for Data governance in popular tools like Collibra, Informatica, Alation, etc. to enable data cataloging, meta data management, and data lineage of the enterprise’s applications and data sources.Enable enterprise level integration of metadata stores for the business users to search and understand information by developing standard business glossaries and data dictionariesSupport in implementing a solution for Data Cataloging with a Data governance tool to establish clear data ownership along with access control managementBuild custom integrations between the Data governance tool and various data stores to map and view data lineageSupport the enterprise in migrating from existing (and different) data sources like SharePoint, Excel, etc. to a Data Governance toolSupport in implementing a Workflow management system to optimize, improve, and automate the Data Governance workflows for the data stewards to increase output, eliminate repetition, and reduce errorsImplement the means to track, investigate and correct data quality issues in a Data Governance tool and support in setting up data quality rules for data validation and standardizationExperience & Skills Required:Degree in Information Technology, Computer Science, or other related fields or an equivalent combination of education and experience3+ years of hands-on experience utilizing tools like #Collibra, #Informatica, #Alation, etc to implement Data governance programs5+ years of experience in data management space under any areaStrong problem solving and analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracyProven ability to work with business stakeholders and leaders to identify and align on workable business solutions to data privacy requirements and challengesKnowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protectionDemonstrated consulting skills, with change management concepts and strategies.Certifications on these tools is a plus

Job Title: Manager_ Java FullstackLocation: BangaloreJob Description:We are seeking a skilled and experienced Java Developer with expertise in Apache Camel to join our dynamic team. The successful candidate will be responsible for designing, developing, and maintaining Java-based applications with a focus on Camel integration. If you have a passion for software development, a strong background in Java, and hands-on experience with Camel, we encourage you to apply.Responsibilities:Design and develop scalable, high-performance Java applications using Apache Camel for integration purposes.Collaborate with cross-functional teams to define, design, and implement new features and enhancements.Write clean, well-designed, and efficient code while adhering to software development best practices.Work closely with architects and other developers to understand system requirements and ensure successful implementation.Troubleshoot, debug, and resolve software defects and issues in a timely manner.Participate in code reviews to maintain code quality and ensure adherence to coding standards.Stay up to date with the latest industry trends, technologies, and best practices.Requirements:Bachelor’s degree in computer science, Engineering, or a related field.Proven 8-11 years of experience in Java development with a focus on Camel integration.Strong knowledge of Java programming language and object-oriented design principles.Hands-on experience with Apache Camel for building enterprise integration solutions.Experience with Spring Framework and related technologies.Proficiency in using build tools such as Maven or Gradle.Knowledge of relational databases (e.g., MySQL, PostgreSQL) and proficiency in SQL.Strong knowledge on architecture and java based applications.Familiarity with web application development and technologies (e.g., Servlets, JSP, HTML, CSS, JavaScript).Experience with version control systems, preferably Git.Excellent problem-solving and debugging skills.Experience with messaging systems such as Apache Kafka or ActiveMQ.Solid understanding of RESTful web services and API design.Familiarity with microservices architecture and containerization (Docker, Kubernetes).Excellent problem-solving and debugging skills.Strong communication and collaboration skills.Should have team management skills.Preferred Qualifications:Certification in Apache Camel or related technologies.Experience with other integration frameworks or ESBs.Knowledge of Agile/Scrum methodologies.Familiarity with continuous integration and continuous deployment (CI/CD) practices

We have the following role for a PowerBI Architect engineer role here at Tredence.Must Have skill - DAX Queries, SQL, Semantic layers, report rationalization and discoveryExperience: 10+ Years of experience Notice Period: Only Immediate to 15 days joinersHybrid role from Location: Bangalore, Chennai, Gurgaon, Pune, KolkataInterviews: 3 rounds of 30 ~ 45 Minutes video based Teams interviewsEmployment Type: Permanent Full Time with TredenceDescriptionBachelor's or Master's degree in Computer Science, Information Systems, or a related field.10+ years of overall industry experience5+ years of hands-on development experience with Microsoft Business Intelligence stackExtremely strong SQL skillsStrong proficiency in Power BI, including data modeling, DAX, Power Query, and report /dashboard development.Strong prioritization and multi-tasking skills with a track record of meeting deadlinesAdaptable to new environments, people, technologies and processesWilling to work on Azure Databricks related projectsResponsibilities :The Power BI architect will help to design business and management architecture.This architecture will provide a blueprint for how an we will go about existing BI initiatives.You will articulate the technology standards and data management and analytics practices that support Tredence BI efforts.About Tredence:Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 2,200+ employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and India (Bangalore, Pune, Chennai, Gurugram & Kolkata), with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.As we complete 11 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. · Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base.Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in Kolkata. In 2023, we also plan to hire more than 1000 employees across markets. · Tredence is a Great Place to Work (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance.At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible

Manager – Supply Chain and Manufacturing Practice Experience:· Master’s degree with 4+ years of relevant experience in Supply Chain Consulting/Supply Chain Analytics, with 6+ years of experience overall OR· Graduate degree with 5+ years of relevant experience in Supply Chain Consulting/Supply Chain Analytics, with 8+ years of experience overall. Job Location: · Primary Location: Bangalore, India. · The Practice team is currently based in Bangalore, but we are open to candidates wanting to work out of our Chennai and NCR offices. In this role, you will be engaging with Supply Chain Leaders across the globe to define the need for solutions where your primary focus is on growing the relationship with the client on one hand, while leading the delivery team to ensure high quality deliverables on a day-to-day basis on the other. You are the de-facto leader for all engagements undertaken with one or more prominent accounts. You should have complete command over the status of projects within the account and the ability to judge the need for you to roll-up your sleeves or lead the team by example. As a Manager, you would be leading anywhere between 3-5 client engagements at a given point in time. These engagements would be of various nature – From a 4-6 week high intensity pilot to a 3-6 month full-scale solution implementation. You will be leading a team of highly motivated, energetic, and occasionally volatile(!) Analysts, Senior Analysts, Associate Managers and Engineers. In this role you will have multiple career options to set as a goal for yourself which could range from being a Supply Chain Delivery Manager, Supply Chain Process Consultant or a Supply Chain Solution Architect. This will depend on your inclination as well as your expertise in the mix of Supply Chain domain knowledge and analytical, statistical, and technical skills.Expectations from You:Overall, your role would require a mix of expertise in various proportions depending on the nature of the problem in hand to make ourselves an indispensable thought and solution partner for our clients. Thus, a Manager should have - • A good process consulting mindset to understand the roots of the problem and complexity of the solution to be built• An analytical mindset to be able to leverage data to build relevant solutions • A technical mindset to be able to give a sustainable and scalable and client-self-serve design to the solution• A program management mindset to enable the last mile delivery of the solution to ensure adoption of the solution in the smoothest possible manner• A product management mindto design and develop repeatable solution assets.• And, a growth mindset to train and grow your teams and develop them into strong professionals. · In terms of Supply Chain Domain Knowledge• You must possess an in-depth understanding of a few functions within Supply chain (e.g. procurement, transportation etc.) and must be capable of holding independent conversations with the clients, driving conversations through clear communication of your factual opinions on the above-mentioned area(s) of your expertise.• You must possess a wide exposure to functions across the SC value chain: Procurement / Inbound Logistics / Production / Inventory and Demand Planning / Outbound Logistics / Retailing• You might have to develop a good understanding or working knowledge of various modules of Supply Chain solutions and software to be able to have a meaningful conversation with the clients, in their ownlanguage. · In terms of Supply Chain Analytical skills • You should be comfortable designing and building repeatable tools / data-models to solve specific business problems• You should be comfortable leading your team of Analysts, Senior Analysts, Engineers and Associate Managers, who would be working on:• Excel / SQL /Alteryx or similar platforms for data processing• R/Python for logic building• Tableau / PowerBI or similar platforms for Data Visualization• You should be comfortable with concepts of applied mathematics and statistics which might be required to build a foolproof solution. In terms of Thought Leadership• For Thought Leadership you will be encouraged to explore a wide array of research in terms of what are the competencies pertaining to the latest trends in the industry.• You will have an opportunity to research & publish voracious content, that could come out in the form of a whitepaper, blog, case studies, campaign message or an innovative idea/product/ solution. • In terms of P&L Ownership• You are expected to influence a revenue generation activity to closure through the entire cycle from research and content generation to client engagement in workshops and discussions.• You will be encouraged and coached on managing the book of revenues and costs in the accounts that you lead - scoping, sizing, resourcing and execution management, keeping the P&L in mind. You will also be coached to achieve revenue growth in the accounts through active business development exercises such as and not limited to, white paper, pre-sales content, Point Of View, drafting and designing a commercial model for engagement and face-to-face client interactions for new sales. • In terms of Team Leadership• We are at a crucial juncture of our journey where we are constantly punching above our weight and growing at a fast rate, which means hiring and developing skills to match this need. This means that you will be required to communicate the mission, vision and goals of the practice clearly and consistently with your team. You should engage and support the team concerning their career aspirations, skills, knowledge, and work performance. • Have the ability to assign key tasks through awareness and understanding of the team’s skills, expertise & tools.• You should be able to take responsibility for your team’s performance as well as your own and provide constructive solutions that focus on moving forward.• You are expected to have an inquisitive mind and eye to be able to analyze the situation to make better decisions. Evaluate a given circumstance (technology/domain expertise), collect the necessary information, make comparisons to help the organization, team, stakeholders and customers.• You should be able to moderate a process of forging an agreement between two or more parties — team members, peers, onsite members, clients, etc. that is mutually acceptable.• You are required to understand or feel what other people are experiencing by putting yourself in their shoes and when required, lead to transform than to dominate, ensuring to recognize the contribution and efforts of the team. What’s in it for you· A tremendously impactful role that provides an opportunity to grow and be a part of the Supply Chain Practice Leadership team while interfacing with global supply chain leaders from various large organizations· Independence and ownership in design, execution, and P&L of your projects and account· An opportunity to carve out a unique role that harnesses and grows your abilities as a thought leader and as an operational leader· Work in an organization where the bar for talent, hunger for good work and aspiration for growth is very high – a place which will challenge as well as energize you· Work with peers who are the best in Industry – People like you!· Opportunity to exceed targets and be rewarded handsomely for it

MUST HAVE • Minimum of 3 to 5 years of Azure DE experience. • In-depth technical knowledge of tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS etc. • Experience in collaborating with business stakeholders to identify and meet data requirements • Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources • Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration and data management • Implemented batch & near real time data ingestion pipelines • Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc. • Excellent written and oral communication skills GOOD TO HAVE • Proven ability to work with large cross functional teams with good communication skills.• Experience on Cloud migration methodologies and processes• Azure Certified Data Engineer • Exposure to Azure Dev ops and Github • Ability to drive customer calls independently • Ability to take ownership and work with team

Job Description:As a Field Marketing Manager, your role will be to develop and execute strategic marketing plans and coordinate various events for Tredence globally to promote and enhance brand visibility and drive business growth. You will be responsible for managing all aspects of field marketing and event management, from conceptualization to execution, while ensuring alignment with the overall marketing objectives and company goals. This is a dynamic and fast-paced role that requires strong organizational, communication, and leadership skills.Key Responsibilities:Strategic Planning:· Develop and implement comprehensive field marketing and event strategies aligned with overall marketing goals.· Collaborate with cross-functional teams to define marketing objectives and develop integrated marketing campaigns.Event Management:· Plan, organize, and execute a wide range of events, such as trade shows, conferences, new service launches and sponsorships.· Experience running large customer conclaves with a significant budget upwards of $250k· Coordinate event logistics, including venue selection, vendor management, budgeting, and scheduling.· Collaborate with internal stakeholders and external partners to ensure successful event execution and seamless customer experiences.Brand Promotion:· Develop and manage promotional materials, collateral, customer swags and event signage to maintain consistent brand messaging.· Monitor market trends and find innovative ways to promote the brand during large tradeshows, conferences, and other events – not settle for run off the mill ideas.· Coordinate with channel partners and event organizers to secure enhanced brand visibility for Tredence as an analytics industry leader through tech talks, thought leadership articles, and other platforms.Relationship Building:· Cultivate and maintain relationships with key industry influencers, partners, and vendors to leverage partnerships for marketing initiatives.· Collaborate with sales teams to understand customer needs and provide marketing support to drive lead generation and customer acquisition.· Act as a brand ambassador and representative at events, fostering positive relationships with customers and prospects.Metrics and Reporting:· Create trackers and establish key performance indicators (KPIs) to measure the effectiveness and ROI of marketing activities and events.· Analyze data and generate reports to evaluate marketing campaign performance, identify areas for improvement, and make data-driven recommendations.You’ll be a great fit for this role if you have/are:· Bachelor's degree in Marketing, Business Administration, or a related field (or equivalent experience).· 12 – 15 years of proven experience in field marketing, event management, or related roles.· Strong project management skills, with the ability to manage multiple events simultaneously.· Excellent written and verbal communication skills, with the ability to present ideas and concepts effectively.· Creative mindset with the ability to develop innovative marketing strategies and concepts.· Proficient in using MarTech tools.· Strong interpersonal and relationship-building skills.· Ability to work independently and collaboratively in a team environment.· Willingness to travel and work flexible hours as needed.What can one expect in this role?· 'Near Zero' handholding, absolute autonomy, which means stakes are high· Exciting opportunity to grow in a company that is hyper scaling· Not the usual 'Marketing' set-up, which means going beyond the fence to accomplish things· Ability to learn and scale fast if in the right mindsetAs a Field Marketing and Events Manager, you will play a crucial role in enhancing brand Tredence, driving customer engagement, and generating leads through effective field marketing strategies and event management. Your ability to think strategically, execute flawlessly, and create memorable experiences will contribute to the overall success and growth of the organization.

Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.Job Responsibilities :Responsible for designing & overseeing the technical solutions being built. Play a crucial role in shaping the architecture, ensuring scalability, performance, security & overall effectiveness of the solutions.Responsibilities:Solution Design: Architect end-to-end solutions considering scalability, performance, security and usability.Technical Leadership: Provide technical leadership to dev team, guiding them in implementing best practices, adhering to architectural guidelines.Requirement Analysis: Work closely with stakeholders to understand business requirements & translate them into technical solutions.Architecture Planning: Design and document the overall system architecture, including data models, application components and interaction patterns.Technology Evaluation: Research and evaluate new tools, technologies and frameworks.Code Review: Review code and architecture proposed by the development teams to ensure compliance with established architectural standards and guidelines.Collaboration: Collaborate with stakeholders to deliver cohesive solutions.Mentorship: Provide guidance and mentorship, promoting skill development and knowledge sharing.Troubleshooting: Investigate and resolve complex technical issues that may arise during development or in production environments.Experience Range - 9 to 12 years.Qualifications:Proven experience as a Solution Architect, in-depth knowledge of MEAN stack components (MongoDB, Express.js, Angular, Node.js), RESTful API design and microservices architecture, familiarity with cloud platforms (AWS, Azure). Proficiency in database design and optimization. Problem-solving mindset and ability to troubleshoot complex technical issues.

ABOUT TREDENCETredence is a global data science solutions provider focused on solving the last mile problem in AI. The 'last mile' is the gap between insight creation and value realization. Headquartered in San Jose, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments.Tredence is 2,000-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel and industrials as clients. Location : Bangalore, Chennai, Kolkata, Gurgaon, Pune Mandatory Skills : Azure Databricks, SQL, ADF, PySparkJob Description · Minimum 2 to 9 years of experience in Databricks data engineering with overall 3+ years IT experience· Must have experience in SQL, Pyspark, Scala, python codes.· Must have good experience in data bricks.· Must have experience in Azure data factory and synapses.· Must have good experience in analysis code and downstream.· Good understanding on Ingestion optimization methodologies.· Good understanding on CDC, SCD and delta data analysis in data bricks· Must have good exposer on delta lake.· Must know target data model or Lift and shift methods.· Good understanding of data partitioning strategies· Must have experience in converting business requirement into technical concepts.· Azure certification is preferred. (optional)· Must have Unix and Windows background.· Good to have experience with Azure Synapse, Power BI.· Proven ability to work with large cross functional teams with good communication skills.