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Popular Data Engineer title with broad responsibilities but niche MS Fabric/Power BI reduces applicant density.
Microsoft Fabric and Power BI specialization narrows hires to candidates with specific cloud and BI ecosystem experience.
Mandatory Microsoft Fabric and Power BI expertise imposes strict technical filters in candidate shortlisting.
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Design, develop, and maintain scalable Power BI dashboards, semantic models, and analytical solutions to support business decision-making.
Build, automate, and optimize data pipelines using Microsoft Fabric components such as Dataflows Gen2, Pipelines, Notebooks, and OneLake.
Integrate data from diverse sources, ensure data governance, monitor analytics workflows for high availability and quality.
Proven hands-on experience with Power BI including DAX, Power Query, data modeling, and report development.
Strong proficiency in SQL and data transformation techniques.
Practical expertise with Microsoft Fabric components: OneLake, Pipelines, Dataflows Gen2, Notebooks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and maintaining enterprise-grade data pipelines and analytical solutions within Microsoft data platform ecosystem.
Able to collaborate effectively with cross-functional teams and translate technical concepts into business value.
Comfortable working independently with a proactive and structured approach in an agile environment.