About This Role
About the Project
We are looking for an Automation QA Engineer to join a rapidly scaling startup working on a large-scale data platform.
The product operates with massive datasets, complex ETL pipelines, and high-performance backend services. This role is ideal for a QA engineer who enjoys working beyond UI automation — focusing on data validation, integrity, and performance testing in data-driven systems.
You will play a key role in ensuring the reliability and quality of data processing across the entire platform.
Responsibilities:
Design, develop, and maintain automated tests for data-driven applications
Perform data quality testing, validating accuracy and integrity across large datasets
Create automated test scripts using frameworks such as Selenium, Playwright, or Python-based tools
Collaborate closely with backend and data engineers to define quality standards
Conduct performance testing to verify system efficiency and scalability
Identify bottlenecks in data processing and contribute to continuous quality improvements
Nice to Have:
Experience testing cloud-based systems
Familiarity with backend APIs and service-level testing
Experience working in startup or fast-paced product environments
Requirements
4+ years of experience in automation testing
Strong SQL skills (writing complex queries for validation and data verification)
Hands-on experience with automation frameworks (Selenium, Playwright, or similar)
Experience with performance testing and system efficiency validation
Analytical mindset and attention to detail
Highlights
Only for candidates located in Europe
Originally posted on Himalayas