Playwright QA with ETL and AI
Posted Today by 1759919464
Negotiable
Outside
Remote
USA
Summary: The role of Playwright QA with ETL & AI involves a QA Engineer responsible for automation testing using Playwright, validating ETL processes, and ensuring the accuracy of AI-driven applications. The position is remote and targets candidates with a strong background in automation and data validation. The role emphasizes collaboration with development and data teams to maintain high-quality standards. The contract duration is expected to be over six months.
Key Responsibilities:
- Develop and maintain automation scripts using Playwright.
- Perform ETL testing to validate data flows and transformations.
- Test and validate AI/ML model outputs for accuracy and consistency.
- Collaborate with development and data teams to ensure end-to-end quality.
- Document and report defects with clear root cause analysis.
Key Skills:
- Strong experience in Playwright automation and ETL testing.
- Exposure to AI/ML testing or data-driven applications.
- Good understanding of SQL and API testing.
Salary (Rate): undetermined
City: undetermined
Country: Canada
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Playwright QA with ETL & AI
Location: Remote - Canada/LATAM
Duration: 6+ months
Rate - Market
Job Description:
We are seeking a QA Engineer with hands-on experience in Playwright automation, ETL testing, and AI-based validation. The candidate will be responsible for designing and executing automated and functional test cases across data and AI-driven applications.
Key Skills & Responsibilities:
Develop and maintain automation scripts using Playwright.
Perform ETL testing to validate data flows and transformations.
Test and validate AI/ML model outputs for accuracy and consistency.
Collaborate with development and data teams to ensure end-to-end quality.
Document and report defects with clear root cause analysis.
Qualifications:
Strong experience in Playwright automation and ETL testing.
Exposure to AI/ML testing or data-driven applications.
Good understanding of SQL and API testing.