Responsible for building scalable ingestion, transformation, and storage pipelines across DataBricks Medallion Layers, Azure Data Factory, SQL Server, and staging/data layers, supporting Metrics Repository and onboarding of new datasets

Summary: Builds systems that gather, store, and process large volumes of data for analysis. Responsibilities: Develop ETL pipelines, ensure data quality, optimize data storage solutions. Skills: Python, SQL, cloud data tools experience- Azure Data Factory)

Financial domain experience must

Azure Data Engineer (Financial domain)

Key skills

About this role