QA Engineer - Data & Integrations (Python automation + SQL)

Job Posting:

Are you passionate about automation and data quality? Were looking for a hands-on QA Automation Engineer who thrives in writing and maintaining test automation in Python, with a strong focus on backend validation and integration testing.

Key Responsibilities:

• Develop detailed test plans and test cases to ensure the quality of data-centric and integration-heavy applications.
• Design and implement automation test scripts using

  Python

  ,

  Pytest

  , and

  Selenium

  for UI and functional testing.
• Conduct manual functional testing for Master Data Management (MDM), MDM Integrations, and Search & Select applications.
• Perform

  end-to-end validation

  of data flow from upstream to downstream systems, including APIs, Kafka streams, and Data Marketplace pipelines.
• Follow

  BDD practices

  using tools like

  pytest-bdd

  or similar behavior-driven frameworks.
• Validate backend data using

  SQL

  , ensuring high data accuracy and integrity.
• Track and manage defects using test tracking tools like Jira, and provide regular reports on quality metrics such as defect densities and open defect counts.
• Collaborate with multiple development teams to coordinate and prioritize testing of application features and fixes.

Qualifications:

Education:

Experience:

Skills:

• Proficient in

  Python

  and automation frameworks such as

  Pytest

  ,

  pytest-bdd

  , or

  Behave

  .
• Strong experience in web UI testing with

  Selenium

  .
• Solid understanding of

  BDD

  methodologies and writing test scenarios in Gherkin format.
• Experience with backend data validation using

  SQL

  .
• Familiarity with

  Kafka

  ,

  REST APIs

  , and E2E data validation workflows.
• Exposure to MDM tools and concepts is a strong plus.
• Version control knowledge (e.g., Git), CI/CD tools, and Agile practices.
• Excellent problem-solving, debugging, and communication skills.

Why Join Us?

• Be part of a technically strong QA team focused on automation-first testing strategies.
• Work on challenging integration projects involving modern data pipelines and APIs.
• Use the latest Python frameworks and participate in defining QA best practices.
• A fast-paced, collaborative environment where your contributions have direct impact.

If you're excited about writing test scripts every day, validating complex data workflows, and contributing to a robust QA automation framework we’d love to hear from you!!