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Medium — niche Microsoft Fabric skillset reduces candidates despite common Data Engineer title and senior level.
Medium — core data engineering skills transferable, but Microsoft Fabric/Azure specialization limits cross-platform fit.
High — explicit 8+ years and mandatory Microsoft Fabric/Azure, Spark, and data governance skills.
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Own development and maintenance of Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers using Medallion Architecture.
Build and optimize scalable data ingestion pipelines, ETL/ELT processes, and Spark/PySpark, Python, SQL workloads for data quality, validation, and transformation.
Implement operational controls including data quality checks, monitoring, auditing, troubleshooting pipeline failures, and support Power BI semantic models and Direct Lake consumption.
8+ years of Data Engineering experience with hands-on expertise in Azure and Microsoft Fabric.
Proficiency in Spark / PySpark, Python, SQL, and Delta Lake.
Bachelor’s degree in Computer Science, Engineering, IT, or related field.
Experience with Microsoft Fabric Lakehouse, OneLake, Data Pipelines, Notebooks, ETL/ELT, CDC, and data governance tools like Microsoft Purview.
Experienced in building layered data lakehouse architectures following Medallion Architecture methodologies.
Skilled in developing reusable, high-quality data ingestion and transformation pipelines for diverse source systems including cloud and file formats.
Familiar with delivering business metrics and curated datasets for analytics teams, with knowledge of Power BI integration and data governance standards.