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Mid-level metro Azure data engineer role with broad BI and ETL requirements drives high candidate competition.
Core Azure data engineering skills transferable, but Microsoft Fabric and SAP reporting add moderate domain bias.
Mandatory 6+ years and specific Microsoft Fabric/Azure/SQL skills make shortlisting stringent.
Design, develop, and maintain Microsoft Fabric data engineering solutions including Lakehouse, Warehouse, Data Pipelines, Notebooks, and Semantic Models.
Provide Level 2/Level 3 production support including incident resolution, root cause analysis, and coordination of deployments within SLA commitments.
Support critical business cycles such as month-end and financial close reporting activities with timely data refresh and issue resolution.
6+ years experience in data engineering, business intelligence, or analytics.
Strong hands-on expertise in Microsoft Fabric components: Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks, Semantic Models, and Power BI.
Proficient with SQL and ETL/ELT pipeline development, data modeling concepts, and production support environments with SLA obligations.
Preferred: IT Graduate degree (BE, BTech, MCA) or equivalent.
Experienced with scalable, high-performance data ingestion and transformation using Microsoft Fabric and Azure data services.
Skilled in operational support of enterprise reporting solutions including issue investigation, automation, and process improvement.
Capable of collaborating with cross-functional teams including business, finance, QA, and technical stakeholders to meet critical delivery timelines and audit requirements.