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

5 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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

Are you passionate about automation and data quality? We’re 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:

Bachelor’s degree in Computer Science, Engineering, or a related field preferred.

Experience:

5+ years of hands-on experience in Python-based automation testing, including web testing using Selenium and API/backend testing.

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!!

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