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.

Must-Have Skills:

69 years of experience in QA roles, with at least 3+ years focused on ETL/Data Pipeline Testing in cloud-native environments.
Strong in SQL, Python, and optionally PySpark comfortable writing complex queries, automation scripts, and custom data validation logic.
Practical experience with manual validation of data pipelines, including source-to-target testing and business rule verification.
Proven ability to support, maintain, and enhance automation test suites and contribute to framework improvements in collaboration with QA leadership.
Experience validating GraphQL APIs, semantic layers (e.g., Looker, dbt), and ensuring schema/data contract compliance.
Familiarity with data platforms and tools such as Databricks, AWS Glue, Redshift, Athena, or BigQuery.
Strong understanding of QA methodologies, including test planning, test case design, test data management, and defect lifecycle tracking.
Proficiency in tools like JIRA, TestRail, or Zephyr for test case and defect management.
Skilled in building and automating data quality checks: schema validation, null checks, duplicates, threshold alerts, and data transformation validation.
Hands-on with API testing using tools like Postman, pytest, or custom automation frameworks built in Python.
Experience working in Agile/Scrum environments, actively participating in QA ceremonies and sprint cycles.
Exposure to integrating automated tests into CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.

Education and Professional Certifications

Bachelors degree in computer science and engineering preferred, other Engineering field is considered; Masters degree and 6+ years experience Or Bachelors degree and 8+ years

Talent Analytics & AI Specialist with AI Agent (IC3 / IC4)

Software Engineer III - Java