Key Responsibilities
Data Engineering & Development
• Build and maintain data ingestion pipelines using Data Factory, Dataflows Gen2, Pipelines, and event driven patterns.
• Develop Lakehouse structures using Delta Lake, Notebooks (PySpark), and medallion architecture.
• Implement Fabric Data Warehouse objects (tables, stored procedures, views, SQL endpoints).
• Create and optimize semantic models for Power BI, including Direct Lake datasets.
• Develop KQL databases and real time analytics components where required.
Operational Delivery
• Implement CI/CD pipelines for Fabric using Git integration and DevOps best practices.
• Monitor, troubleshoot, and optimize Fabric workloads for performance and cost.
• Ensure data quality through validation rules, profiling, and automated checks.
• Support production deployments, incident resolution, and environment management.
Collaboration & Stakeholder Support
• Work with Hisco...