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Niche Microsoft Fabric specialization with Pune metro and senior experience creates moderate candidate competition.
Core data engineering skills are transferable, but Microsoft Fabric specialization moderately limits cross-industry fit.
Explicit 7–9 years plus mandatory Microsoft Fabric, Azure, SQL, Python, and PySpark requirements increase filter strictness.
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Design, develop, and maintain ETL/data pipelines using Microsoft Fabric Data Factory and related Azure data technologies.
Build and optimize data solutions leveraging Microsoft Fabric components like OneLake, Lakehouse, and Fabric Notebooks.
Ensure data quality, performance optimization, and collaborate across teams to deliver scalable end-to-end data integration solutions.
7–9 years of experience in Data Engineering.
Hands-on experience with Microsoft Fabric and Azure data technologies such as Azure Data Factory or Azure Synapse Analytics.
Strong skills in SQL, Python, and PySpark for data transformation workflows.
Location requirement: Pune (Hybrid – Kharadi); Immediate joiners to 1 week notice period.
Experienced in end-to-end data engineering roles focused on Microsoft Fabric and Azure cloud data platforms.
Capable of handling complex data integration and pipeline optimization with strong analytical skills.
Familiar with collaborative environments requiring documentation and cross-functional coordination.