Key Responsibilities: Fabric solution delivery
- Build and support Microsoft Fabric components (workspaces, Lakehouses/Warehouses, semantic models) aligned to business requirements.
- Design and implement data ingestion and transformation workflows using Fabric-native capabilities, ensuring reliability and maintainability.
- Organize and manage data in OneLake, enabling consistent access patterns and efficient data reuse across teams. Data quality, performance & operations
- Monitor pipeline executions, troubleshoot failures, and perform root-cause analysis to restore services quickly.
- Optimize query and model performance through partitioning strategies, efficient transformations, and workload tuning where applicable.
- Implement data validation checks and support reconciliation to improve trust in datasets and reports. Collaboration & documentation
- Work with stakeholders to gather requirements, define acceptance criteria, and deliver iterative improvements.
- Maintain clear documentation for datasets, pipelines, and operational runbooks to support ongoing support and onboarding.
- Follow team standards for versioning, release practices, and change management across Fabric assets.
Minimum
Qualifications:
- Bachelor’s degree (or equivalent)
in Engineering/Technology/Computer Applications/Science (BTech/BE/BSc/MCA or equivalent).
- 3–5 years of experience in data/analytics engineering or BI platform delivery in a cloud environment.
- Hands-on experience with Microsoft Fabric within an Azure subscription, including building and supporting Fabric artifacts.
- Working knowledge of OneLake concepts and practical experience managing data organization and access patterns.
- Robust understanding of data modeling fundamentals and data pipeline troubleshooting in production-like environments.