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Generalist BI title, mid-level experience, metro context and broad Azure/ETL skillset increase applicant competition.
Core data engineering skills transfer across industries but Microsoft Fabric/Azure specificity creates moderate domain bias.
Explicit 6+ years plus mandatory Microsoft Fabric/Azure/ETL skills and production SLA experience enforce strict filters.
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Design, develop, and maintain Microsoft Fabric solutions including Lakehouse, Warehouse, Data Pipelines, Dataflows, Notebooks, and Semantic Models.
Provide Level 2/Level 3 production support for Fabric-based reporting and analytics; resolve incidents and ensure SLA commitments.
Support critical business cycles including month-end and financial close with timely data refreshes, reconciliations, and reporting; recommend automation and process improvements.
6+ years of overall experience in data engineering, business intelligence, or analytics.
Strong hands-on experience with Microsoft Fabric components (Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks, Semantic Models, Power BI).
Proficient in SQL with experience in ETL/ELT pipeline development and data modeling (conceptual, logical, physical).
IT Graduate degree required (BE, BTech, MCA preferred).
Experienced with production support in environments with strict SLA commitments, especially supporting financial and month-end reporting.
Skilled in data modeling and Microsoft Fabric architecture, familiar with medallion lakehouse patterns and enterprise reporting datasets.
Comfortable coordinating with cross-functional teams including business, finance, QA, and technical stakeholders; able to document and communicate technical processes.