Role & responsibilities

- Design, develop, and maintain scalable data ingestion and transformation pipelines on Azure.
- Build and optimize ETL/ELT workflows using Azure Data Factory and PySpark.
- Develop and manage data solutions using Azure Databricks and Azure Data Lake Storage (ADLS).
- Design and implement enterprise-scale data warehouse and analytics solutions.
- Develop event-driven and streaming data processing solutions using Azure services.
- Integrate applications and services using Azure Functions and Logic Apps.
- Create reusable, high-performance, and secure data engineering frameworks.
- Participate in data migration initiatives, including source-to-target mapping and reconciliation.
- Collaborate with architects, analysts, and cross-functional teams to deliver data solutions.
- Follow Agile methodologies and DevOps best practices for continuous delivery and deployment.
- Contribute to data governance, cataloging, and lineage initiatives.

📌 Azure Data Engineering / Data Platform (Chennai)
🏢 Tata Consultancy Services
📍 Chennai