Power BI- Power Automate Engineer- Python

3 days ago

Bengaluru, Karnataka, India Relevance Labs Full time ₹ 15,00,000 - ₹ 25,00,000 per year
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.

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