Jobs → Data & Analytics → Data Engineer

About the Role We are looking for a skilled Data Engineer with hands-on experience in Microsoft Fabric, data pipeline development, data modeling, and Power BI analytics. Key Responsibilities • Design, build and maintain Microsoft Fabric data pipelines integrating Oracle Fusion, Workday, Salesforce and other enterprise systems • Develop and manage Lakehouse and Warehouse solutions using Medallion Architecture • Create and maintain business KPIs, including Revenue, EBITDA, Labor %, Food Cost %, Guest Count and Same Store Sales • Build semantic models and curated datasets to establish a single source of truth for reporting and analytics • Implement data quality checks, validation, reconciliation, security and governance controls • Support Power BI reporting, self-service analytics and AI/Copilot-ready data solutions Requirements • 5-8 years of experience in data engineering • Strong hands-on experience with Microsoft Fabric – Data Factory, Lakehouse, Warehouse, Dataflows Gen2 and Pipelines • Proficiency in SQL, Spark SQL, PySpark and Python • Knowledge of Medallion Architecture – Bronze, Silver and Gold • Experience with Data Modeling – Star Schema, Fact and Dimension Design, Kimball Methodology • Skills in Power BI Semantic Models and DAX • Familiarity with OneLake and Delta Tables • Experience in ETL/ELT Development and Enterprise Data Integration • Understanding of Data Governance, Microsoft Purview, RLS/CLS and Security Controls • Proficiency with Git, Azure DevOps and CI/CD