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Role Overview
We are looking for a Data Engineer with experience in Microsoft Fabric and Power BI Semantic Models to design, build, and optimize enterprise semantic models that support analytics, reporting, and AI-driven use cases. You will work closely with technical and business stakeholders to deliver scalable, secure, and high-performing data solutions.
Key Responsibilities
* Design and maintain semantic models in Microsoft Fabric and Power BI.
* Build and optimize facts, dimensions, relationships, hierarchies, measures, and metadata.
* Define and manage governed business metrics and reporting standards.
* Implement Direct Lake and OneLake-based analytical solutions.
* Ensure security, performance, and scalability of semantic models.
* Collaborate with business and technology teams to translate requirements into effective data solutions.
Required Skills
* Hands-on experience with Microsoft Fabric, Power BI Semantic Models, DAX, TMDL/PBIP, Direct Lake, and OneLake.
* Strong understanding of star schema design, fact/dimension modeling, relationships, and hierarchies.
* Experience with enterprise metrics, semantic modeling best practices, and RLS security.
* Performance tuning and troubleshooting using DAX Studio, DAX Query View, and Performance Analyzer.
* Ability to translate business requirements into scalable data solutions.
Nice to Have
* OneLake Security
* Fabric REST APIs
* Medallion Architecture and Data Mesh concepts
* Python
* Experience with AI-ready metadata, Copilot or AI-driven analytics