Microsoft Fabric (Azure Subscription) developer

Infosys; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys in Bengaluru seeks a Fabric-focused Analytics Engineer to build and support Fabric components, including workspaces and semantic models, while designing reliable data ingestion and transformation workflows.

You will organize data in OneLake for consistent access, monitor pipelines, and optimize performance. Collaboration with stakeholders and thorough documentation are essential for ongoing operations and improvements.

Qualifications

• Bachelor’s degree or equivalent in Engineering/Technology/Science.
• 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, building and supporting Fabric artifacts.
• Working knowledge of OneLake concepts and data organization/access patterns.
• Strong understanding of data modeling fundamentals and production data pipeline troubleshooting.

Responsibilities

• Build and support Fabric components (workspaces, lakehouses/warehouses, semantic models) aligned to business needs.
• Design and implement data ingestion and transformation workflows using Fabric-native capabilities.
• Organize and manage data in OneLake for consistent access and reuse across teams.
• Monitor pipeline executions, troubleshoot failures, and perform root-cause analysis.
• Optimize query/model performance via partitioning and transformations; tune workload.
• Implement data validation checks and support reconciliation to improve dataset trust.
• Collaborate with stakeholders to gather requirements and deliver iterative improvements.
• Maintain documentation for datasets, pipelines, and runbooks; support onboarding.
• Follow team standards for versioning, releases, and change management across Fabric assets.

Skills

Microsoft Fabric

Azure DevOps

Cloud Platform

Data modeling

Data pipelines

Education

Bachelor's degree in Engineering/Technology/Computing

Tools

Power BI

SQL

Azure Data Lake Storage

OneLake

Job description

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

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.
• 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