
Data-Centric Test Engineering Leader
2 days ago
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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