Data Engineering - Microsoft Fabric - Contract role -Remote.

Role: Microsoft Fabric Engineer / Data Engineer

Experience: 6+ Years

Location: Remote.

About the Role

We are looking for an experienced Microsoft Fabric Engineer with strong expertise in data engineering, CI/CD automation, deployment management, and production support. The ideal candidate will have hands-on experience building data pipelines, managing Microsoft Fabric deployments across environments, and troubleshooting production issues using modern monitoring and observability tools.

Key Responsibilities

Microsoft Fabric & Data Engineering

- Build, maintain, and optimise data pipelines using Microsoft Fabric Data Factory, Lakehouse, Warehouse, and Notebooks.
- Develop data processing solutions using Python, PySpark, and SQL.
- Design and implement Bronze, Silver, and Gold data architecture using Microsoft Fabric and OneLake.
- Develop and optimise Power BI semantic models, datasets, and data refresh processes.
- Ensure data quality, performance, reliability, and scalability across data engineering solutions.

CI/CD & Deployment

- Design, implement, and maintain CI/CD pipelines for Microsoft Fabric solutions.
- Use Git and GitHub for source control, branching strategies, pull requests, and code reviews.
- Manage deployments across Development, Test, and Production environments.
- Automate deployments using GitHub Actions or Azure DevOps.
- Implement version control, deployment validation, rollback procedures, and release management practices.

Production Support & Monitoring

- Monitor Microsoft Fabric pipelines, jobs, capacity utilisation, and workloads.
- Troubleshoot pipeline failures, data processing issues,



and Power BI refresh problems.
- Use Fabric Monitoring Hub, Azure Monitor, and Log Analytics to investigate issues and improve reliability.
- Handle L2/L3 production incidents, perform root cause analysis (RCA), and implement corrective actions.
- Configure alerts for pipeline failures, performance degradation, and capacity-related issues.
- Maintain incident records, RCA reports, operational runbooks, and support documentation.
- Participate in on-call rotations and production support activities when required.

Required Skills and Experience

- 6+ years of experience in Data Engineering.
- 1–2+ years of hands-on Microsoft Fabric experience, or robust Azure Synapse and Power BI experience with practical exposure to Fabric.
- Strong proficiency in SQL, Python, and PySpark.
- Experience developing and optimising Power BI semantic models, datasets, and DAX expressions.
- Hands-on experience with GitHub, source control, branching, and pull request workflows.
- Experience implementing CI/CD pipelines using GitHub Actions or Azure DevOps.
- Experience with production support, incident management, troubleshooting, and root cause analysis.
- Knowledge of Microsoft Fabric monitoring, capacity management, workspace administration, and governance.
- Strong analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

- Experience deploying Microsoft Fabric solutions across multiple environments.
- Familiarity with Fabric deployment pipelines and workspace Git integration.
- Experience with Azure Monitor, Log Analytics, production alerting, and operational automation.
- Understanding of data security, access controls, and governance best practices.

📌 Data Engineer (India)
🏢 TechNET IT Recruitment
📍 India