Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-senior role, metro location, generalist data title and broad Microsoft/Databricks requirements drive high competition.
Core data engineering skills transfer, but Microsoft Fabric and Power BI focus increases platform specificity.
Explicit 5–10 years plus mandatory Azure Fabric, Databricks, Power BI, Python and SQL requirements raise strictness.
Build and maintain data layers in Microsoft Fabric and Databricks optimizing performance and cost.
Define and implement semantic models and star schemas for Power BI ensuring metric consistency across dashboards.
Develop automated scripts and Power BI integrations; enable self-service analytics with documentation and playbooks, including AI-driven analytics support.
5-10 years of experience as Data Engineer and Analyst with strong engineering skills.
Proficiency in Azure Data Platform technologies: Microsoft Fabric, Spark, Python, Power BI, and SQL.
Experience in translating business requirements into data models, KPIs, and technical design artifacts.
Strong programming skills in Python and SQL; experience developing executive-level reports/dashboards.
Experienced in data engineering and analytics with a focus on Azure and Microsoft Fabric ecosystem.
Skilled at bridging technical data platforms with business analytics needs including enabling self-service and AI-driven analytics.
Comfortable working in Agile environments, contributing to governance, documentation, and community enablement activities.