Lead QA Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We are looking for an QA Automation Engineer to join our Big Data Platform team. You will build and maintain automated tests for API-based data access and Spark data processing jobs, working with data engineers to ensure our data pipelines are accurate, reliable, and performant.
Responsibilities
Debugging - Debug and resolve customer issues
Test fixes related to customer issues
Root cause analysis of customer issues
Build and maintain automated test scripts for REST/API-based data access services
Maintain and release hot fixes in a dedicated cadence.
Help with appropriate product documentation
Test Spark job outputs for correct transformations, aggregations, and schema
Validate data pipelines end-to-end for completeness, accuracy, and consistency
Write SQL queries to verify data in databases/data lakes against expected results
Work with data engineers/PMs to define test scope from pipeline requirements
Log and track defects (e.g., JIRA) and support root cause analysis
Debug and analyze logs to identify failure root cause and enable resolution
Integrate automated tests into CI/CD pipelines
Maintain deployment pipelines and workloads for QA environments
Qualifications
Total of more than 6 years of experience in QA
3-5 years of QA/automation experience
Selenium and Playwright preferred
Working knowledge of Python or Java for test scripting
Exposure to REST API testing (Postman, RestAssured, or requests)
Basic understanding of big data concepts and Apache Spark (DataFrames, jobs, transformations)
Good SQL skills for data validation
Exposure to CI/CD tools (Jenkins/GitLab CI) and Git
Strong analytical skills and good communication for cross-functional collaboration
Good Linux skills - Basic linux and K8s commands