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Power BI Developers

India · Job Posted May 15, 2026
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Job Description

We are currently seeking a Power BI developers to join our team in Remote, Karnātaka (IN-KA), India (IN).

Job Responsibility

  • Design, develop, and maintain ETL pipelines for extracting, transforming, and loading data from diverse sources
  • Create and optimize SQL queries for efficient data retrieval and transformation in large-scale environments
  • Build interactive Power BI dashboards and reports to deliver actionable insights to stakeholders
  • Implement data modeling best practices for Power BI, ensuring accurate and performant analytics
  • Monitor and troubleshoot ETL workflows, resolving issues promptly to maintain data integrity
  • Collaborate with business teams to gather requirements and translate them into technical solutions
  • Ensure compliance with data governance, security, and quality standards across all processes
  • Perform performance tuning for ETL jobs and SQL queries to meet SLA requirements
  • Document ETL processes, data flows, and reporting logic for transparency and maintainability
  • Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift

Requirements

  • Strong expertise in SQL, including advanced joins, indexing, query optimization, and stored procedures
  • Hands-on experience with Power BI, including DAX, Power Query, and data modeling techniques
  • Proficiency in ETL tools such as Azure Data Factory, SSIS, or equivalent platforms
  • Solid understanding of data warehousing concepts and dimensional modeling (star/snowflake schemas)
  • Knowledge of data governance, security, and compliance best practices
  • Ability to troubleshoot and optimize ETL workflows for performance and reliability
  • Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift
  • Insurance domain experience is mandatory

Nice to have

Experience with Microsoft Fabric (Lakehouse, OneLake, Dataflows Gen2) is a strong plus

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  • Design, develop, and maintain ETL pipelines for extracting, transforming, and loading data from diverse sources
  • Create and optimize SQL queries for efficient data retrieval and transformation in large-scale environments
  • Build interactive Power BI dashboards and reports to deliver actionable insights to stakeholders
  • Implement data modeling best practices for Power BI, ensuring accurate and performant analytics
  • Monitor and troubleshoot ETL workflows, resolving issues promptly to maintain data integrity
  • Collaborate with business teams to gather requirements and translate them into technical solutions
  • Ensure compliance with data governance, security, and quality standards across all processes
  • Perform performance tuning for ETL jobs and SQL queries to meet SLA requirements
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  • Ability to troubleshoot and optimize ETL workflows for performance and reliability.
  • Familiarity with version control systems (Git) and CI/CD pipelines for data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
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  • Create and optimize SQL queries for efficient data retrieval and transformation in large-scale environments.
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  • Create and optimize SQL queries for efficient data retrieval and transformation in large-scale environments
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  • Implement data modeling best practices for Power BI, ensuring accurate and performant analytics
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  • Collaborate with business teams to gather requirements and translate them into technical solutions
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  • Create and optimize SQL queries for efficient data retrieval and transformation in large-scale environments
  • Build interactive Power BI dashboards and reports to deliver actionable insights to stakeholders
  • Implement data modeling best practices for Power BI, ensuring accurate and performant analytics
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  • Collaborate with business teams to gather requirements and translate them into technical solutions
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  • Create and optimize SQL queries for efficient data retrieval and transformation in large-scale environments.
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