Job Description

Responsibilities :

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.

Additional Responsibilities:

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.

Strong understanding of data modeling fundamentals and data pipeline troubleshooting in production-like environments. Preferred Qualifications:

Experience designing end-to-end analytics solutions in Fabric (ingestion transformation semantic layer consumption).

Familiarity with Fabric governance and workspace administration, including access controls and environment hygiene.

Exposure to semantic modeling and reporting enablement (e.g., building reusable datasets/metrics for analytics consumers).

Experience with performance tuning for analytical workloads and optimizing transformations for cost and speed.

Ability to communicate effectively with both technical and non-technical stakeholders and drive clarity in requirements. Good to have skills: Power BI, DAX, SQL, Azure Data Lake Storage (ADLS), Data governance & access control

Technical and Professional Requirements:

Primary skills:Domain- Microsoft Fabric (Azure Subscription) Technology- Cloud Platform- Azure Devops,Technology- Microsoft Technologies- Microsoft Fabric