Position:
Data Engineer with Power BI - Senior engineer (Level 1)
Job Description:
Key Responsibilities
• Design, develop, and maintain interactive dashboards, reports, and semantic models using Power BI.
• Create optimized data models, DAX calculations, KPIs, measures, Power Query transformations, and enterprise reporting solutions.
• Develop and maintain complex SQL queries, stored procedures, and database objects for analytics and reporting.
• Build and maintain scalable ETL/ELT pipelines using AWS Glue, Amazon EMR, AWS Lambda, or similar AWS data integration services.
• Develop Python scripts for automation, data processing, validation, and workflow optimization.
• Integrate data from multiple enterprise systems including SQL Server, Oracle, SAP, ERP, APIs, AWS services, and cloud data warehouses.
• Work with contemporary cloud platforms including AWS, Amazon Redshift, Amazon S3, Databricks, and Power BI.
• Design dimensional data models (Star Schema/Snowflake Schema) and publish curated datasets for enterprise analytics.
• Optimize Power BI reports through DAX optimization, query tuning, incremental refresh, aggregation, and performance best practices.
• Implement Row-Level Security (RLS), workspace governance, deployment pipelines, and Power BI Service administration.
• Collaborate with Data Engineering teams to design scalable data lake, Lakehouse, and Medallion Architecture solutions.
• Support deployment, release management, CI/CD implementation, and migration across Development, UAT, and Production environments.
• Maintain technical documentation for dashboards, datasets, pipelines, and operational runbooks.
• Troubleshoot reporting, performance, data quality, and production issues while ensuring high availability of analytics solutions.
• Work closely with business stakeholders to gather reporting requirements and translate them into scalable technical solutions.
Primary Skills (Must Have)
Power BI & Analytics
• Strong hands-on experience developing enterprise
📌 Data Engineer with Power BI (Pune)
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