Power Bi Developer

4 - 6 years

10 - 15 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Skills Required

Work Mode

Remote

Job Type

Full Time

Job Description

Key Responsibilities:

  • Design and develop interactive Power BI dashboards and reports tailored to business requirements.
  • Create robust data models, measures, and calculated columns using DAX and Power Query (M).
  • Integrate and transform data from multiple sources including SQL databases, APIs, Excel, Azure, and cloud data platforms.
  • Ensure accuracy, performance, and scalability of Power BI datasets and visuals.
  • Collaborate with data engineers, analysts, and business teams to define data requirements and KPIs.
  • Implement row-level security (RLS) and manage user access within Power BI Service.
  • Optimize report refreshes, visuals, and queries for better data load and performance.
  • Publish, schedule, and maintain reports in Power BI Service and integrate them into portals or apps as needed.
  • Troubleshoot data issues, ensure data integrity, and continuously enhance reporting processes.

Desired Skill Set

Must-Have:

  • 4+ years of hands-on experience with Power BI (Desktop and Service).
  • Strong command over SQL writing queries, joins, stored procedures, and performance optimization.
  • Experience in data modeling, ETL, and data transformation using Power Query or equivalent tools.
  • Ability to connect and integrate data from various sources (e.g., SQL Server, Azure Data Lake, Excel, REST APIs).
  • Strong understanding of DAX functions and their application in building dynamic visuals.
  • Experience with Power BI administration, publishing, and workspace management.
  • Solid understanding of data relationships, normalization, and performance tuning techniques.

Good to have skills:

  • Exposure to Azure Synapse, Data Factory, or Fabric for data orchestration.
  • Familiarity with Python or R for data prep or analytics within Power BI.
  • Knowledge of Power Automate and Power Apps for extending BI workflows.
  • Experience with data governance and security best practices in enterprise BI environments.

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