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Tier-1 employer, mid-level generalist role, and metro/hybrid location attract many qualified applicants.
Data engineering skills transferable broadly, but regulated medical-device context increases industry-specific sensitivity.
Explicit 5+ years requirement and mandatory Microsoft Fabric/Power BI skillset enforce strict filters.
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Own end-to-end BI solution development lifecycle from data ingestion to user-facing Power BI reports and apps using Microsoft Fabric.
Design, build and maintain scalable data pipelines, semantic data models, and reporting solutions ensuring data accuracy and performance.
Lead and manage data engineering team members including setting objectives, conducting reviews, and supporting development.
5+ years proven experience in BI, analytics, or data engineering delivering full-stack data solutions.
Strong technical skills in SQL, Python, Microsoft Fabric components (Data Factory, Lakehouse/Warehouse, Power BI), and Power BI DAX for semantic modelling and performance tuning.
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Engineering or equivalent practical experience.
Not explicitly mentioned in the JD: notice period or strict onsite/location requirements.
Experienced in translating ambiguous business questions into well-defined, scalable data products with measurable business impact.
Demonstrates strong leadership capability managing a data engineering team and collaborating cross-functionally with business stakeholders.
Comfortable working in regulated/compliance-driven environments with emphasis on data governance, CI/CD, and documentation standards.