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Metro mid-level data role with broad Azure/PowerBI requirements increases applicant competition.
Core data engineering skills are transferable, but Microsoft Fabric/Power BI emphasis raises domain specificity.
Explicit 5–10 years plus required Azure, Fabric, Databricks, Power BI, Python, and SQL make filtering stringent.
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Build and maintain data layers in Microsoft Fabric and Databricks optimizing performance and cost.
Design semantic models, star schemas, and Power BI dashboards to ensure metric consistency and high performance.
Develop automation scripts, define enablement playbooks, and support self-service analytics adoption and legacy BI migration.
5-10 years of experience as a Data Engineer and Analyst with an engineering mindset.
Proficiency with Azure Data Platform technologies including Microsoft Fabric, Spark, Python, Power BI, and SQL.
Strong analytical skills with experience in Power BI reporting and executive-level dashboard development.
Ability to translate business requirements into technical data design and documentation.
Experienced in data warehousing, data modeling, and data visualization with hands-on expertise in Azure ecosystem.
Skilled in programming (Python, SQL) and capable of creating reusable, automated data products and enablement materials.
Familiar with Agile methodologies, data governance frameworks, and leading analytics community engagement or mentoring.