SQL – Must Have 1. Window functions (ROW_NUMBER, RANK, LEAD, LAG). 2. joins and query optimization.
JD: Specialized in building scalable pipelines using GitHub, optimizing ETL workflows using native Databricks capabilities and Azure/ Amazon web services - Build and maintain API integrations - Develop SFTP pipelines and automated file ingestion - Create error handling, notifications, and monitoring workflows - Implement low-complexity ingestions (e.g., file drops, partner data shares) - Maintain scripts and GitHub repositories - Test pipelines and Document flows
📌 AWS Databricks Data Engineer (Mumbai)
🏢 Ascendion
📍 Mumbai
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