Data Engineer with Power BI - Senior engineer (Level 1)

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 modern 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 Power BI reports, dashboards, and semantic models. • Expertise in DAX, Power Query (M), calculated measures, calculated columns, relationships, and data modeling. • Experience publishing and managing datasets using Power BI Service. • Knowledge of Row-Level Security (RLS), Incremental Refresh, Gateways, Deployment Pipelines, Workspace Management, and report performance optimization. • Experience building executive dashboards, KPI scorecards, and self-service BI solutions.

Programming Languages • Advanced SQL (essential) for query optimization, stored procedures, and analytics. • Strong Python programming for automation, data processing, scripting, and ETL development.