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Sr Quality Analyst - ETL Tester

Unknown Company · Hyderabad, India

Quality AssuranceSenior LevelExternal listingfull-time10 days ago

About The Role

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

We'll trust you to

  • Validate ETL workflows (Extract, Transform, Load).
  • Create and execute test cases and test scenarios.
  • Perform source-to-target data validation.
  • Write complex SQL queries to verify data accuracy.
  • Test data transformation rules and business logic.
  • Perform functional, regression, integration, and data quality testing.
  • Log and track defects using tools like Jira or Azure DevOps or GitHub.
  • Work closely with ETL developers, data engineers, and business analysts.
  • Support UAT and production validation.

You'll need to have

  • Strong SQL (joins, subqueries, window functions, aggregations)
  • ETL testing concepts
  • Data Warehouse concepts (Fact & Dimension tables, Star/Snowflake schema)
  • Working experience with Databricks, or Snowflake
  • Unix/Linux commands
  • Defect tracking tools (Jira, Azure DevOps, GitHub)
  • Knowledge of Agile/Scrum methodology
  • Basic understanding of APIs and automation is an added advantage.
  • 3–5 years in ETL/Data Warehouse testing

Nice-to-Have Skills

  • Python or PySpark
  • Cloud platforms (Azure, AWS, GCP)
  • CI/CD tools (Jenkins, Git)
  • Big Data testing (Hive, Hadoop, Spark)

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