Power BI- Power Automate Engineer- Python

Key Responsibilities

• Design and develop interactive dashboards and reports in Power BI using DAX, Power Query (M), and data modeling best practices.

• Build and manage Power Automate flows to streamline business processes and automate recurring data operations.

• Use Python for advanced data wrangling, API integrations, and custom analytics not natively supported by Power BI.

• Develop ETL pipelines integrating diverse sources (SharePoint, Dataverse, SQL Server, Excel, APIs, etc.).

• Collaborate with stakeholders to translate business requirements into scalable technical solutions.

• Implement role-based access control (RBAC), dataset refresh schedules, and gateway configurations.

• Optimize query performance and data refresh reliability across Power BI and Fabric.

• (Nice-to-have) Work with Microsoft Fabric’s Lakehouse, Dataflows Gen2, and Notebooks for unified data and analytics development.

• Maintain documentation and ensure adherence to governance, compliance, and data security standards.

Required Skills & Experience

• 4–8 years of professional experience in Power BI (data modeling, DAX, report design, and performance tuning).

• 2+ years of experience with Power Automate / Power Apps (workflow design, approval processes, connectors, etc.).

• Strong proficiency in Python (Pandas, Requests, REST API handling, data transformations).

• Good understanding of SQL and relational data concepts.

• Experience integrating Power BI with Azure services (e.g., Synapse, Data Lake, Logic Apps) preferred.

• Excellent problem-solving, analytical, and communication skills.

Good-to-Have

• Experience with Microsoft Fabric, particularly with Lakehouse, Data Warehouse, Data Factory, and Notebooks.

• Exposure to Azure DevOps CI/CD pipelines for Power BI deployments.

• Familiarity with enterprise data governance frameworks and data lineage tools.

Education

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

• Microsoft certifications such as PL-300 (Power BI Data Analyst) or PL-500 (Power Automate RPA Developer) are a plus.