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Mid-level metro role but niche Microsoft Fabric specialization reduces applicant density.
Highly Microsoft Fabric and Azure-specific skills limit cross-industry transferability.
Explicit 5–8 years and mandatory Fabric/Azure stack create strict filtering criteria.
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Own end-to-end data lifecycle on Microsoft Fabric including ingestion, transformation, semantic modeling, warehousing, real-time analytics, and BI.
Develop and maintain ELT/ETL pipelines with CI/CD, Git integration, and parameterization for scalable data engineering.
Lead governance, security, performance tuning, and operational standards while mentoring engineers and collaborating with stakeholders.
5-8 years of experience in data engineering/analytics with 3-5 years on Azure/Microsoft data stack.
Hands-on expertise in Microsoft Fabric components: OneLake, Lakehouse, Delta Tables, Data Factory, Synapse, Power BI, and Real-Time Analytics with KQL.
Strong technical skills in Python (PySpark), SQL/T-SQL, DAX, Git/GitHub/GitLab, and CI/CD pipelines using Azure DevOps or GitHub Actions.
Location: Hybrid in Gurgaon, Noida, Pune, Mumbai, or Bangalore.
Experienced mid-level data engineer with deep specialization in Microsoft Fabric ecosystem and Azure data services.
Operationally oriented with proven ability to build scalable, secure, and performant analytics pipelines and BI solutions.
Capable of leading operational excellence in data governance, security models, and mentoring junior engineers.