Position Details
About this role
This role involves ensuring the quality and reliability of data platforms through automation, data validation, and AI-assisted testing practices. The engineer will collaborate with cross-functional teams to design test strategies and improve testing efficiency.
Key Responsibilities
- Design and review test strategies
- Build and maintain automated test frameworks
- Perform data validation and reconciliation
- Integrate automated testing into CI/CD pipelines
- Track and communicate defect trends
Technical Overview
The technical environment includes automation frameworks using Java and Python, SQL for data validation, UNIX/Linux systems, CI/CD pipelines, and AI tools for testing and defect analysis.
Ideal Candidate
The ideal candidate is a mid-level QA engineer with 3+ years of experience in test automation, scripting in Java and Python, and strong SQL skills. They should have experience working with automation frameworks, CI/CD pipelines, and AI-assisted testing tools, preferably in financial or data-intensive environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of QA/test automation experience, Lack of scripting or automation framework experience, No SQL or API testing experience, No familiarity with UNIX/Linux, No experience with CI/CD pipelines
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