
QA Engineer
3 weeks ago
- 5+ years of QA experience with a focus on automation and cloud-native environments.
- Hands-on expertise in automation tools such as Selenium, Cypress, or Playwright.
- Experience with ETL/data pipeline testing, including validating source-to-target data mapping, transformations, and aggregation logic.
- Proficient in writing and executing complex SQL queries for data validation.
- Working knowledge of GCP services such as BigQuery, Pub/Sub, Cloud Functions, Cloud Storage, etc.
- Familiarity with API testing using Postman, RestAssured, or similar tools.
- Scripting knowledge in Python, JavaScript, or Java for test automation.
- Experience working in CI/CD pipelines and version control (Git).
Roles and Responsibilities
- Design, implement, and maintain automated test frameworks using tools such as Selenium, Cypress, Playwright, or equivalent.
- Write and execute test plans and test cases for functional, regression, integration, and performance testing.
- Validate ETL processes and data pipelines, ensuring data completeness, correctness, and quality from source to destination.
- Perform data validation and transformation testing across systems like BigQuery, Cloud Storage, Pub/Sub, Firestore, etc.
- Develop and execute SQL queries and scripts to verify data accuracy in data lakes, warehouses, and staging environments.
- Conduct API testing using tools like Postman, RestAssured, or custom scripts.
- Integrate test automation into CI/CD pipelines using Jenkins, GitHub Actions, or GCP Cloud Build.
- Collaborate closely with developers, data engineers, DevOps, and product teams to ensure overall system quality.
- Monitor logs and test execution in GCP environments using Stackdriver (Cloud Logging & Monitoring) or third-party tools.
- Participate in Agile ceremonies, backlog grooming, and sprint planning, contributing to continuous improvement.
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