Data Engineer

Job Description

TCS has been a great pioneer in feeding the fire of Young techies like you. We are global leaders in the technology arena and there's nothing that can stop us from growing together. TCS Hiring for skill " Azure Databricks Engineer ". Role: Azure Sr. Data Engineer Required Technical Skill Set: Azure data factory, data bricks, data lake, automation and performance optimization of ETL Experience: 6-8 Years Work Location: PAN India Must-Have: Good Knowledge of Data Brick lakehouse and Azure DataLake concept ? Knowledge of Data Bricks delta concept Delta live tables (DLT) Strong hands-on experience in ELT? pipeline development using Azure Data factory and Databricks Autoloader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task ? Strong knowledge of metadata-driven data pipeline, metadata management, dynamic logic ? In-depth knowledge of data storage solutions, including Azure Data Lake Storage (ADLS), and Azure Serverless SQL Pool. Experience with data transformation using Spark, and SQL technologies. ? Solid understanding of design patterns, and best practices of the cloud stack. ? Experience with code management and version control using Git or similar tools. Strong problem-solving and debugging skills in ETL workflows and data pipelines. Strong understanding of Azure Data bricks and Azure Synapse internals ? features and capabilities. Knowledge of Azure DevOps and continuous integration and deployment (CI/CD) process. ? Knowledge of data quality and data profiling techniques, with experience in data validation and data cleansing. Good-to-Have: Power Shell Knowledge Power BI Knowledge Responsibility of / Expectations from the Role: 1. Conducting technical sessions, design reviews, code reviews, and demos of pipelines and their functionality 2. Developing technical specification for Data pipelines and workflow and getting sign-off from Architect and Stryker leads. 3 .Developing, deploying, and maintaining workflows and data pipelines using Azure Data bricks and Azure Synapse. 4. Developing pipeline/notebook for Delta live tables (DLT) Databricks Auto Loader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task 5. Writing efficient and high-performing ETL code using PySpark, and SQL technologies. Note: Virtual/Video call interview will be on 7th Nov 2025 @10.00 AM to 5.00 PM. Note: Applications will be shortlisted based upon response received & Eligibility criteria.