- Design and develop data solutions using Microsoft Fabric.
- Build and maintain data pipelines using Fabric Data Factory.
- Develop and manage Lakehouse architectures.
- Create and optimize ETL/ELT processes.
- Perform data ingestion, transformation, and validation.
- Develop data models and reporting datasets.
- Integrate Fabric with Azure data services.
- Monitor and optimize data pipeline performance.
- Collaborate with business and analytics teams for reporting requirements.
- Support deployment, troubleshooting, and production issues.
- Implement security and governance best practices.
- Create technical documentation and support knowledge transfer.
Preferred Candidate Profile
- 2-3 years of Data Engineering experience.
- Hands-on Microsoft Fabric implementation experience.
- Positive SQL and data modeling knowledge.
- Experience with Power BI integration.