Microsoft Fabric Data & Analytics Solutions Engineer
Hmhw2–5 yrsMumbaiOn-siteDirect career pageEst. 8–14 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Deliver end-to-end Microsoft Fabric data and analytics solutions including source integration, data processing, semantic models, reports, and AI-enabled consumption.
- Develop and optimize data pipelines, lakehouse and warehouse architectures, Power BI models, and advanced Fabric workloads with strong focus on security, governance, and production support.
- Own production solutions: monitor, troubleshoot, optimize cost and capacity, resolve defects, and support migration and operational activities.
Minimum Requirements
- 2-5 years of experience in data engineering, analytics, or enterprise data-platform development with hands-on Microsoft Fabric delivery.
- Strong skills in Fabric Data Factory, OneLake, Lakehouse, Warehouse, SQL/T-SQL, Python, PySpark, dimensional modelling, and Power BI semantic modelling and DAX.
- Experience in end-to-end solution ownership including development, testing, deployment, and production support.
- Practical knowledge of AI-assisted engineering, Git, CI/CD, data security, governance, and performance optimization.
Ideal Candidate Profile
- Experienced in independent cross-component troubleshooting and resolving Fabric workloads issues, indicating strong technical ownership and problem-solving capability.
- Demonstrates ability to work both independently and in teams to achieve project deliverables in agile settings.
- Comfortable applying AI-assisted tools and automation to enhance design, development, and testing efficiency.