Data Engineer (Microsoft Fabric)

We are seeking a Data Engineer to build and maintain our enterprise data platform on Microsoft Fabric. You’ll bring data from systems like Oracle Fusion, Workday, and Salesforce into a governed Lakehouse/Warehouse and deliver the trusted datasets and KPIs that finance, operations, and executive teams rely on. You’ll work independently on defined projects and partner closely with analysts and business stakeholders.

• 3 to 5 years of experience in data engineering, analytics engineering, or a related role \n

• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Dataflows Gen2, Pipelines) \n

• Strong SQL, plus Spark SQL, PySpark, and Python \n

• Data modeling expertise: star schema, fact and dimension design, Kimball methodology \n

• Power BI semantic models and DAX \n

• Working knowledge of OneLake and Delta tables \n

• ETL/ELT development and enterprise data integration experience \n

• Experience with data governance and security: Microsoft Purview, row-level and column-level security (RLS/CLS) \n

• Proficiency with Git, Azure DevOps, and CI/CD practices \n, * Experience integrating ERP or HCM data (Oracle Fusion, Workday) and CRM data (Salesforce) \n

• Background in restaurant, hospitality, retail, or multi-location operations analytics \n

• Experience defining financial and operational metrics with finance teams \n

• Prior experience with Azure Synapse, Azure Data Factory, or Databricks that transfers to Fabric \n

• Microsoft certification such as DP-600 (Fabric Analytics Engineer) or DP-700 (Fabric Data Engineer) \n

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience \n

• Design, build, and maintain Microsoft Fabric pipelines that ingest data from Oracle Fusion, Workday, Salesforce, and other enterprise systems \n

• Develop and manage Lakehouse and Warehouse solutions using Medallion Architecture (Bronze, Silver, Gold) \n

• Create and maintain enterprise KPIs and metrics, including Revenue, EBITDA, Labor %, Food Cost %, Guest Count, and Same Store Sales \n

• Build semantic models and curated datasets that serve as a single source of truth for reporting and analytics \n

• Implement data quality, validation, reconciliation, security, and governance controls \n

• Support Power BI reporting, self-service analytics, and AI/Copilot-ready data solutions \n

• Participate in code reviews, document pipelines and models, and follow team engineering standards \n

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