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About the role
Position: Senior Data Engineer Location: Chennai / Pune / Bangalore / Hyderabad Working Type: WFO Shift: UK Shift (2:00 – 11:00 PM) Notice Period: Immediate Joiner/Serving Notice Period Job Description: Key Responsibilities Required Qualifications: Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments. Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.) Manage large-volume ingestion and backfill operations Implement Bronze to Silver transformation pipelines Develop incremental load and CDC logic Optimize Lakehouse performance and storage patterns Implement monitoring (record counts, load duration, failure tracking) Support Dev/Test/Prod promotion processes Required Qualifications 7+ years of data engineering experience Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory Strong experience with Fivetran or similar ELT tools Experience handling high-volume datasets (hundreds of millions of records) Proficiency in SQL, Python, and data modeling concepts Strong understanding of Medallion architecture. Skills: etl,azure,data factory,azure synapse,data engineer,sql,python,medallion,microsoft fabric,data modelling,fivetran,architecture,microsoft
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