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Tier-1 employer, metro location, mid-level seniority and broad Azure/Databricks/Power BI skillset drive high competition.
Core ETL, SQL, Databricks and Power BI skills are broadly transferable across industries.
Explicit 6+ years and mandatory ADF, Databricks, PySpark and advanced T-SQL create strict filters.
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Design, develop, and maintain scalable data pipelines using Azure Data Factory and Databricks.
Write, optimize, and troubleshoot complex T-SQL queries, stored procedures, and database objects to support data warehousing needs.
Build and maintain interactive Power BI reports and dashboards, managing data integration, scheduling dataset refreshes, and enforcing data governance and security.
6+ years of experience in Data Warehousing, SQL, Data Modeling, and Microsoft Power BI.
Strong proficiency with SQL Server, Azure SQL Database, and SQL Azure including advanced T-SQL skills (query optimization, indexing, stored procedures).
Hands-on experience with Azure Data Factory and Databricks (PySpark, notebooks, workflows).
Knowledge in data governance, role-based access control (RBAC), and security best practices on Azure preferred but not mandatory.
Experienced in end-to-end data pipeline development and debugging in cloud-based Azure environments (ADF, Databricks).
Capable of translating complex data requirements into scalable and secure ETL solutions with advanced SQL and PySpark.
Proficient in creating advanced visualizations and consolidated reporting views using Power BI, including experience with data modeling, DAX, and report publishing.