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 (India)
🏢 Tata Consultancy Services
📍 India