Data Engineer - Data bricks, AWS,Redshift, Data Governance - 7th

Job description

1. 8+ years with strong Databricks, Spark and Data Migration experience 2. Should have experience of end-to-end migration from AWS Redshift or other RDS to Databricks Lakehouse Platform. Need to have knowledge in Cloud Data Engineering, ETL Modernization, Spark Optimization and SQL-to-PySpark migration. 3. Key Responsibilities: a) Migration Strategy and Execution: analyze the existing DWH/DB architecture, Design & Implement scalable data pipelines in Databricks, SQL Script conversion, etc. b) Development & Optimization: Build Delta Lake tables and Implement ACID-complaint data models, Manage metadata, schema evolution and lineage for migrated datasets c) Collaboration & Governance: Work with Data Architect to define Target data models and migration approaches, Collaborate with DevOps teams to implement CI/CD pipelines, Data Governance teams on Security, lineage and cataloging; Mentor junior members in the team d) Nice to have experience with Unity Catalog for governance and access control; Exposure to machine learning/AI pipelines, etc.