Experience: 3–5 Years
Job Type: Full time
Required Skills: Power BI, Azure, PySpark, SQL, Data Engineering
Job Summary
We are looking for an experienced Power BI Developer with strong expertise in data visualization, dashboard development, SQL, Azure, and PySpark. The ideal candidate should have experience in data engineering, data transformation, and processing large datasets using PySpark, along with the ability to develop interactive Power BI dashboards and reports that support business decision-making.
Key Responsibilities
• Design, develop, and maintain interactive dashboards and reports using Power BI.
• Build and optimize data models, DAX measures, calculated columns, and KPIs.
• Write complex SQL queries for data extraction, transformation, validation, and analysis.
• Develop data processing and transformation pipelines using PySpark.
• Work with Azure data services for data ingestion, storage, processing, and integration.
• Perform data engineering activities, including data cleansing, transformation, aggregation, and preparation for reporting.




• Integrate data from multiple sources into Power BI datasets and semantic models.
• Optimize SQL queries, PySpark jobs, data models, and Power BI reports for performance.
• Collaborate with data engineers, business analysts, and stakeholders to understand reporting requirements.
• Implement data quality checks and ensure the accuracy and consistency of reports.
• Publish and manage Power BI reports, datasets, workspaces, scheduled refreshes, and row-level security.
• Troubleshoot data pipeline and reporting issues and ensure timely resolution.

Required Skills
• Power BI: Power BI Desktop, Power BI Service, DAX, Power Query (M), data modelling, dashboard development, and report optimization.
• SQL: Strong SQL skills, complex queries, joins, CTEs, window functions, aggregations, and query optimization.
• PySpark: Hands-on experience with PySpark, Spark DataFrames, transformations, actions, joins, aggregations, and la

📌 Power BI Developer (Indore)
🏢 Bellurbis
📍 Indore