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Metro location, known employer, and a specialized yet common BI role create moderate applicant competition.
Power BI, ETL and SQL skills transfer easily across industries, so background fit sensitivity is low.
Explicit 8+ years plus mandatory Power BI, Azure Databricks, Python/PySpark, DAX and ETL skills make filters strict.
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Own design, development, and optimization of Power BI reports and dashboards integrating multiple data sources including Azure Databricks, Azure Blob Storage, SQL Server, SharePoint, and SSAS.
Lead backend data ETL processes using Python and PySpark to ensure effective data manipulation and integration with BI solutions.
Analyze data to provide strategic recommendations, identify root causes of data or design issues, and enhance report performance and user experience.
8 to 10+ years of experience in Power BI development and related technologies.
Proficiency in Power BI Desktop/Service, DAX, SQL, and strong skills in data modeling including star and snowflake schemas.
Experience with Azure Databricks, Azure Blob Storage, Python, and PySpark for ETL processes and data integration.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experienced senior-level professional comfortable leading development and optimization of complex BI solutions in Azure cloud environments.
Strong technical expertise across Power BI, ETL frameworks, and backend scripting enabling collaboration with data engineering teams.
Detail-oriented with a focus on solving data integration challenges and driving actionable insights through performance optimization.