Sr. Engineer

3 weeks ago

Bengaluru, India Innover Digital Full time

- Hands-on Migration and Development- Pipeline Translation: Directly develop and migrate 20+ complex data pipelines from Azure Data Factory (ADF) into optimized Fabric Data Pipelines and Spark Notebooks (PySpark/Scala).- Stored Procedure Conversion: Rewrite and optimize 30+ complex stored procedures into robust, scalable transformations using PySpark in Fabric Lakehouses or high-performance T-SQL in Fabric Data Warehouses.- Data Modeling: Implement the designed data architecture (Medallion layers: Bronze, Silver, Gold) within OneLake , focusing on Delta Lake best practices and V-Order optimization for efficient querying.- Large Data Handling: Execute the migration of 30+ TB of historical data efficiently and accurately, ensuring data integrity and reconciliation between the legacy and Fabric environments.- Unit & Integration Testing: Develop and execute comprehensive unit and integration tests to validate the correctness and performance of migrated data pipelines and stored procedures.- Performance Tuning: Work closely with the Technical Lead to identify and resolve data bottlenecks and optimize Spark code and Warehouse queries to meet latency requirements.- Collaboration and DevOps Support- CI/CD Adherence: Operate within the established DevOps pipeline, ensuring all code changes, notebooks, and object definitions are managed under Git version control and deployed via the automated CI/CD framework.Required Qualifications- Experience: 5+ years of dedicated experience in ETL/ELT development and data warehousing, with involvement in at least one major cloud data migration.- Core Skills: Strong, demonstrable experience with the Azure Data Stack (ADF, Synapse) and hands-on development experience in Microsoft Fabric.- Data Languages: Highly proficient in T-SQL for querying and procedural logic, and mandatory expertise in Python (PySpark) for data transformation.- Data Modeling: Solid understanding of Kimball-style data warehousing, dimensional modeling, and modern Lakehouse concepts (Delta Lake, Parquet).- Tools: Experience working with Git for source control and familiarity with the principles of CI/CD deployment.

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