Microsoft Fabric Data Engineer

Microsoft Fabric, Python, SQL, Data Engineering, Data Modeling, ETL/ELT, Power BI What You Will Do

• Design, develop, and maintain enterprise data solutions within Microsoft Fabric.
• Build scalable, reliable, and high-performing data pipelines supporting analytics and reporting initiatives.
• Design and optimize data models for reporting, analytics, and downstream applications.
• Perform data cleansing, transformation, and validation across multiple enterprise data sources.
• Develop ELT/ETL workflows using Microsoft Fabric Data Factory and related Fabric services.
• Optimize data ingestion, storage, and processing performance.
• Work closely with business stakeholders to understand reporting and analytics requirements.
• Implement data quality, governance, and security best practices.
• Partner with BI developers and data consumers to deliver trusted enterprise datasets.
• Troubleshoot pipeline failures, performance bottlenecks, and production issues.
• Recommend best practices for Microsoft Fabric architecture and implementation.

• 4-5+ years of hands-on Microsoft Fabric experience in production environments.
• Strong experience designing and managing enterprise-scale data pipelines.
• Expertise in data modeling, data integration, and data cleansing techniques.
• Advanced Python development experience for automation and data engineering.
• Strong SQL skills with experience optimizing complex queries.
• Experience working with large enterprise datasets.
• Experience designing scalable cloud-based data solutions.
• Strong understanding of data governance and data quality practices.
• Excellent troubleshooting and performance tuning skills.
• Strong communication skills with a collaborative, consulting mindset., * Power BI experience.
• Azure Data Factory.
• Lakehouse architecture.
• Data Warehouse implementation.
• Financial Services experience.
• Experience with Spark, PySpark, or notebooks within Fabric.