Lead QA Engineer

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.

About Qualys

• Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
• Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Responsibilities

• Build and maintain automated test scripts for REST/API-based data access services
• 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 7-9 years of QA/automation experience

• Basic understanding of big data concepts and Apache Spark (DataFrames, jobs, transformations)
• Exposure to CI/CD tools (Jenkins/GitLab CI) and Git Strong analytical skills and good communication for cross-functional collaboration

Requirements

• Working knowledge of Python or Java for test scripting
• Exposure to REST API testing (Postman, RestAssured, or requests)
• Good SQL skills for data validation