Data-Centric Test Engineering Leader

2 days ago


Hyderabad Secunderabad Telangana, India beBeeAutomation Full time
Senior Test Automation Engineer III

We are seeking a seasoned Senior Test Automation Engineer III with extensive experience in designing and implementing test automation frameworks integrated with CI/CD pipelines. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and AWS services (S3, Glue, Athena, Lake Formation). They will also possess expertise in validating data pipelines at the syntactic layer, including schema checks, null/duplicate handling, and transformation validation.

  • Mandatory Skills:
  • 7+ to 12 years of Overall experience is expected in Test Automation.
  • Strong experience in designing and implementing test automation frameworks integrated with CI/CD pipelines.
  • Expertise in validating data pipelines at the syntactic layer, including schema checks, null/duplicate handling, and transformation validation.
  • Hands-on experience with Databricks, Apache Spark, and AWS services (S3, Glue, Athena, Lake Formation).
  • Proficiency in Python, PySpark, and SQL for writing validation scripts and automation logic.
  • Solid understanding of GraphQL APIs, including schema validation and query/mutation testing.
  • Experience with API testing tools like Postman and Python-based test frameworks.
  • Proficient in UI and visualization testing using Selenium with Python, especially for tools like Tableau, Power BI, or custom dashboards.
  • Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI for test orchestration.
  • Ability to implement alerting and reporting for test failures, anomalies, and validation issues.
  • Strong background in defining QA strategies and leading test automation initiatives in data-centric environments.
  • Excellent collaboration and communication skills, with the ability to work closely with cross-functional teams in Agile settings.
  • Mentor and manage QA engineers, fostering a collaborative environment focused on technical excellence, knowledge sharing, and continuous professional growth.
  • Good-to-Have Skills:
  • Experience with data governance tools such as Apache Atlas, Collibra, or Alation.
  • Understanding of DataOps methodologies and practices.
  • 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.


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