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Medium: senior but highly specialized Databricks BI role with broad skillset and lesser-known employer.
Low: Databricks, PySpark and Power BI skills are broadly transferable across industries.
High: explicit 10+ years plus mandatory Databricks, PySpark, Power BI, and Azure requirements.
Design, develop, and maintain enterprise-grade Databricks data pipelines and analytical solutions across Bronze, Silver, and Gold Medallion Architecture layers.
Build and optimize ETL/ELT workflows ingesting data via PySpark, Delta Lake, and SQL for BI consumption, ensuring scalable, performant, and governed pipelines.
Develop Power BI reports/dashboards connected to Databricks SQL endpoints, while managing Unity Catalog for data governance and performing Databricks performance tuning.
Minimum 10 years of BI and data engineering experience with hands-on Databricks expertise in production enterprise environments.
Proficiency with Databricks platform including PySpark, Delta Lake, Databricks SQL, Notebooks, Workflows, and Unity Catalog.
Strong skills in Power BI (including DAX, data modeling) and Azure services such as Azure Data Factory and Azure Data Lake Storage.
Experience designing and implementing dimensional models (star and snowflake schema) and Medallion Architecture data layers.
Experienced in end-to-end BI solutions combining advanced Databricks data engineering and Power BI analytics in large enterprise contexts.
Strong operational expertise with Azure cloud data services and governance frameworks, notably Unity Catalog.
Details-oriented with demonstrated ability to optimize large-scale data pipelines for performance, cost, and data quality.