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Mid-level metro Data Engineer title increases competition, though Microsoft Fabric specialization narrows candidate pool.
Core data engineering skills are transferable, but Microsoft Fabric and SAP experience increase industry specificity.
Explicit 6+ years and mandatory Microsoft Fabric, Power BI, and SQL requirements enforce strict filters.
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Design and develop scalable data pipelines, data models, Lakehouse/Warehouse structures, semantic models, and reporting-ready datasets using Microsoft Fabric and Azure data services.
Translate business requirements into scalable data pipelines, semantic models, and analytical datasets while collaborating with business stakeholders and technical teams.
Optimize SQL queries, data pipelines, semantic models, and reports for performance, scalability, and reliability; provide production support and maintain technical documentation.
6+ years of overall experience in data engineering, business intelligence, analytics, or enterprise reporting.
Hands-on experience with Microsoft Fabric components including Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, Semantic Models, and Power BI.
Strong SQL skills with experience in optimized query writing, complex data analysis, and performance tuning.
Bachelor’s degree in Engineering, Technology, Computer Applications, or related IT discipline is preferred.
Experienced in designing and delivering scalable enterprise reporting and analytics solutions utilizing Microsoft Fabric and Azure data services.
Skilled in applying data modeling principles, medallion architecture, Lakehouse patterns, and dimensional modeling for operational and analytical use cases.
Capable of collaborating across business and technical teams, translating requirements into technical solutions, and supporting end-to-end delivery activities including testing, migration, and user training.