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Description:
Seeking an experienced Data QA Engineer with a strong manual testing background.
Responsible for quality across Data quality products, driving testing efforts, defining test strategies, and reporting on test progress and quality risks.
Requirements:
Strong SQL skills and hands-on experience testing data pipelines, ETL, or data warehouses.
Experience with AWS services (S3, Glue, Lambda, Redshift) and validating structured/semi-structured data.
5+ years in software quality assurance with a focus on manual testing and proven experience in testing complex applications.
Familiarity with QA methodologies, SDLC, Agile/Scrum, and tools like Jira or TestRail.
Nice to have: Automation skills in Python and experience with CI/CD pipelines.
Benefits:
Supportive work environment with flexible hours and unlimited home office options.
Opportunities for professional development, health insurance, and wellness initiatives.
Team events, knowledge-sharing sessions, and additional benefits for academic engagements.