Test Automation Engineer

Role Description:

We are seeking a motivated and detail-oriented QA & Test Automation Support Engineer (Test Automation Engineering) to join our growing data quality assurance team. In this role, you will work closely with and under the guidance of a Senior QA & Test Automation Engineer to support the testing and validation of our enterprise data platforms, with a focus on data quality, semantic layer validation, and API testing.

You will contribute to ensuring data integrity across complex data pipelines, assist in validating business logic behind data transformations, and participate in both manual and automated testing processes. This is a hands-on, growth-oriented position ideal for someone looking to deepen their skills in data quality engineering, API testing, and test automation.

Roles & Responsibilities

• E

  xecute automated test suites across various layers including data pipelines, APIs, and semantic layers.
• Analyze test automation results, identify failures or inconsistencies, and assist in root cause analysis.
• Generate and share test execution reports with stakeholders, summarizing pass/fail rates and key issues.
• Collaborate with the Senior QA Engineer to triage automation failures and escalate critical issues.
• Assist in test data preparation and test environment setup.
• Perform manual validation as needed to support automation gaps or verify edge cases.
• Log and track defects in JIRA (or similar tools), and follow up on resolutions with relevant teams.
• Help maintain test documentation, including test case updates, runbooks, and regression packs.
• Contribute to test automation scripting, framework maintenance, and CI/CD integration.
• Validate data transformations and flows across platforms like AWS, Databricks, and Snowflake.
• Participate in testing of semantic layers and Graph QL APIs, including schema validation.
• Maintain test documentation and work closely with QA, data engineers, and analysts to ensure data quality.

Must-Have Skills:

• Hands-on experience executing and analyzing automated test suites
• 1+ strong experience in Test Automation specialization
• 3 to 5 years overall experience in QA & Test Automation is expected.
• Strong understanding of test result analysis and defect tracking (JIRA or similar)
• Basic knowledge of test automation scripting (Python, Java, or similar)
• Proficient in SQL for data validation
• Familiarity with ETL/ELT pipelines and data testing concepts
• Experience with API testing (REST & GraphQL) and schema validation
• Exposure to cloud data platforms like AWS, Databricks, or Snowflake
• Understanding of CI/CD tools (e.g., Jenkins, GitLab CI)
• Good communication and collaboration skills
• Strong attention to detail and a problem-solving mindset

Good-to-Have Skills:

• Experience with data governance tools such as Apache Atlas, Collibra, or Alation
• Contributions to internal quality dashboards or data observability systems
• Awareness of metadata-driven testing approaches and lineage-based validations
• Experience working with agile Testing methodologies such as Scaled Agile.
• Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest.

Education and Professional Certifications

Bachelor's/Masters degree in computer science and engineering preferred.