- Design and develop scalable data ingestion, transformation, and integration pipelines using Azure Databricks.
- Develop complex data transformation logic using PySpark and Spark SQL.
- Build end-to-end ETL/ELT solutions for structured and unstructured data sources.
- Implement Lakehouse architecture using Delta Lake and Databricks best practices.
- Optimize Databricks workloads for performance, scalability, and cost efficiency.
- Integrate Databricks with Azure Data Factory, ADLS, and other Azure services.
📌 Azure Data Bricks Engineer-Immediate Joiner (India)
🏢 Tata Consultancy Services
📍 India
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