Description
The Senior Data Engineer owns the enterprise data platform supporting analytics and data-driven decision-making across global operations. The role builds and maintains Microsoft Fabric medallion pipelines, ingests heterogeneous sources, develops Spark and PySpark transformations, designs dimensional warehouses, creates Power BI semantic models, implements row-level security, and handles data quality, reconciliation, production support, governance, CI/CD, documentation, and stakeholder collaboration. It requires a bachelor's degree in a relevant technical field, at least five years of progressive data engineering, analytics engineering, or business intelligence experience, and demonstrated production experience with Microsoft Fabric or Azure, Power BI, dimensional modeling, and row-level security.
