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Power BI Developer - S

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Onsite

Power BI Developer - S

Tata Consultancy Services

Power BI Developer - S

Skills

SQL QueriesData MiningData AnalysisCompliancePower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Key Responsibilities

  • Design, develop, and maintain interactive dashboards, reports, and scorecards using Power BI.
  • Gather and analyze business requirements to create meaningful data visualizations and analytics solutions.
  • Develop and optimize data models, datasets, and semantic layers within Power BI.
  • Create complex DAX calculations, measures, KPIs, and business metrics.
  • Connect and integrate data from multiple sources including databases, cloud platforms, APIs, and enterprise applications.
  • Develop, maintain, and optimize SQL queries, stored procedures, and data extraction processes.
  • Implement data transformation and cleansing processes using Power Query and ETL tools.
  • Monitor and troubleshoot report performance, data refresh schedules, and service issues.
  • Manage Power BI workspaces, security roles, row-level security (RLS), and governance standards.
  • Collaborate with business users to identify reporting opportunities and improve analytics capabilities.
  • Ensure data accuracy, consistency, and compliance with organizational standards.
  • Create and maintain technical documentation, user guides, and reporting standards.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Engineering, or a related field.
  • 5+ years of experience in Business Intelligence, Data Analytics, or Power BI development.
  • Strong hands-on experience with Microsoft Power BI Desktop and Power BI Service.
  • Proficiency in SQL and relational database concepts.
  • Experience creating data models, reports, dashboards, and visualizations.
  • Strong understanding of DAX, Power Query (M Language), and data transformation techniques.
  • Experience working with large datasets and performance optimization.
  • Knowledge of data warehousing concepts and ETL processes.
  • Familiarity with Agile development methodologies

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