Moody's is seeking an experienced Data QA Engineer to join their elite engineering team. The role focuses on automated testing for complex data-driven applications, requiring a self-driven professional who can lead quality control efforts and collaborate effectively across production teams.
Primary responsibilities include building automated testing frameworks for data pipelines, executing comprehensive test cases across UI, API, performance, and accessibility testing domains, and ensuring high-quality software releases through meticulous defect resolution and compatibility testing processes.
Required experience involves at least 3 years of automated testing expertise, proficiency in Java, SQL, Selenium, and Postman, with functional knowledge of ETL tools like Talend, Spark, and Pentaho. Strong technical skills in database querying, test automation, and CI/CD tools such as GitLab, Docker, and Jenkins are essential for success in this role.
Moody's offers an inclusive work environment that values innovation, diverse perspectives, and professional growth. The company provides opportunities to work on cutting-edge data solutions, contribute to meaningful projects, and develop advanced technical skills while being part of a dynamic and collaborative engineering team that transforms today's risks into future opportunities.
