Data Engineer

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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 :

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.