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ETL QA

Role:

ETL QA

Location:

Pune - Viman Nagar, Indore CITP, Bangalore

Experience:

6+ years

Key Skills:

SQL, jira, Python, AGILE, ETL Testing

What will your role look like
  • Design, develop, and execute comprehensive ETL test cases to validate data extraction, transformation, and loading processes.
  • Perform backend and data validation testing by writing and optimizing complex SQL queries.
  • Validate data accuracy, integrity, completeness, and reconciliation between source and target systems.
  • Identify, log, track, and retest defects using defect tracking tools, ensuring timely resolution.
  • Collaborate closely with developers, data engineers, and business stakeholders to clarify requirements and ensure complete test coverage.
  • Participate in Agile ceremonies, sprint planning, and project discussions.
  • Be available for collaboration and meetings aligned with US EST working hours when required.

Why you will love this role
  • Work on data-driven projects that directly impact business decisions and analytics outcomes.
  • Collaborate with global teams across different time zones and technologies.
  • Gain exposure to modern data platforms, including data warehouses and data lakes.
  • Be part of a fast-paced, collaborative environment that values quality, ownership, and continuous improvement.
  • Opportunity to enhance your skills across SQL, ETL processes, and cloud-based data ecosystems.

We would like you to bring along
  • Strong SQL expertise with hands-on experience in writing and optimizing complex queries.
  • Proven experience in ETL Testing, including data extraction, transformation, and load validation.
  • Solid understanding of data validation, reconciliation, and backend testing concepts.
  • Experience working with SQL-based DBMS tools such as Oracle, SQL Server, Denodo, Azure Databricks, or similar platforms.
  • Familiarity with data warehouses and data lakes.
  • Knowledge of Agile methodologies and experience using defect tracking tools like JIRA.
  • Strong analytical mindset with excellent attention to detail and problem-solving skills.
  • Effective communication and collaboration skills in a distributed team setup.
  • Willingness to work flexible hours to support cross-time-zone collaboration, including US EST.


Good-to-have skills
  • Working knowledge of Python for data validation or automation.
  • Exposure to cloud platforms such as AWS, Azure, or GCP and their data services.
  • Experience in automation frameworks or scripting for ETL testing.

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