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Popular mid-level data engineering role in Mumbai with broad BI skillset attracts many applicants.
Core data engineering and BI skills are transferable, though Fabric and semantic-model expertise favors analytics-focused employers.
Multiple mandatory platform skills (Fabric, Databricks, Power BI, Python) and analytics responsibilities narrow candidate pool.
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Build and maintain data layers in Microsoft Fabric and Databricks to optimize performance and cost.
Design and own semantic models including star schemas for Power BI to ensure consistent metrics across dashboards.
Develop automation scripts (Python) and enable self-service analytics via reusable datasets, playbooks, and documentation.
Experience with Microsoft Fabric, Databricks, and Power BI is mandatory.
Strong proficiency in Python for automation and script development is required.
Work Experience Required: Not explicitly mentioned in the JD.
No explicit degree, notice period, or location requirements stated.
Experienced in translating business requirements into analytical specifications and KPI definitions.
Skilled at managing BI platform transitions and legacy BI migration (SSRS, SSAS environments).
Ability to collaborate with cross-functional stakeholders to embed AI-driven and conversational analytics.