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

About this role

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Skills you'll use

What you'll do

• 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.

Who can apply

• 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.
• Data Engineering & ETL

About Arrow Electronics

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