Microsoft Fabric (Azure Subscription) developer

Microsoft Fabric (Azure Subscription) developer

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