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Role title: Senior Data & Analytics Engineer (Microsoft Fabric & Power BI) — Marketing Analytics
Hands-on senior engineer to design, build, and run enterprise Microsoft Fabric lakehouse + Power BI solutions for marketing/customer analytics. Owns end-to-end delivery: ingestion/orchestration (Fabric Data Factory), Spark transformations (PySpark/Spark SQL), medallion (Bronze/Silver/Gold) lakehouse modeling, semantic model design, and Power BI performance. Strong production experience with incremental/CDC, data quality checks, security (RLS), monitoring/alerting, and Dev/Test/Prod deployment practices.
Must-have keywords / skills: Recent delivery on Microsoft Fabric (Lakehouse, Data Factory, Data Engineering/Spark, Workspaces, Deployment Pipelines) Power BI semantic models, DAX, star schema modeling, performance optimization Advanced SQL, PySpark/Spark SQL, Delta/Parquet, partitioning/tuning Marketing analytics data domains (web/app events, campaign/email/paid media, CRM/CDP) Production ops: monitoring, reliability, governance, documentation/runbooks
Experience target: 8–12+ years (senior, delivery-focused), strong stakeholder partnering with Marketing/Growth/Product teams.
Certifications that stand out (Microsoft): Microsoft Certified: Fabric Data Engineer Associate (Exam DP-700) Microsoft Certified: Fabric Analytics Engineer Associate (Exam DP-600) Microsoft Certified: Power BI Data Analyst Associate (Exam PL-300) Nice-to-have (data foundation): Azure Data Fundamentals (DP-900) / Azure Fundamentals (AZ-900)
hackajob is partnering with hackajob on-demand to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.