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Specialized Databricks expertise and seniority reduce pool, but BI roles remain competitive in metro markets.
Databricks, Azure, and Power BI skills are transferable, but platform specialization creates moderate industry bias.
Explicit 10+ years plus mandatory Databricks, PySpark, Unity Catalog, Azure and Power BI skills make filters strict.
Design, develop, and maintain Databricks-based data pipelines and analytics solutions using Medallion Architecture (Bronze, Silver, Gold layers).
Build and optimize ETL/ELT pipelines ingesting and transforming data into Databricks Delta Lake for BI consumption.
Develop Power BI reports and dashboards linked to Databricks SQL endpoints delivering actionable business insights.
10+ years of BI and data engineering experience with hands-on Databricks expertise in enterprise production environments.
Strong skills in Databricks platform including PySpark, Delta Lake, Databricks SQL, Notebooks, Workflows, and Unity Catalog.
Proficiency in Power BI development including DAX and integration with Databricks SQL endpoints.
Experience with Azure services such as Azure Data Factory and Azure Data Lake Storage in production setups.
Experienced in implementing scalable data platforms using Medallion Architecture with Bronze, Silver, and Gold layers.
Skilled in dimensional modeling including star and snowflake schema design aligned to BI best practices.
Capable of managing data governance within Databricks using Unity Catalog to ensure metadata management, data lineage, and access control.