Sr. Software QA Engineer at Moody's – Heredia | Jobyssey

Skills and Competencies

4+ years of experience in Software Quality Assurance or Data Engineering roles supporting data or application platforms
Strong experience with Databricks for validating data pipelines, workflows, and transformations
Hands-on experience with Xray and Jira for test management, traceability, and defect tracking preferred
Experience executing functional, integration, regression, and data validation testing across complex systems
Advanced SQL skills for data analysis, validation, and troubleshooting data quality issues
Experience working with ETL processes, data pipelines, or data warehouse environments.
Strong Python skills for automation, scripting, or test data validation activities
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.

Education

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Information Systems, or related field
Equivalent combination of education and relevant experience may be considered

Responsibilities

Support quality assurance activities for data platforms, applications, and reporting solutions to ensure accuracy, reliability, and performance
Design and Execute test cases and document results for software releases across multiple environments
Perform functional, integration, regression, and data validation testing for data-driven applications
Validate data quality across Databricks workflows, ETL pipelines, and reporting outputs
Manage test execution, traceability, and defect tracking using Xray and Jira
Analyze defects and perform root cause investigation in collaboration with development teams
Participate in requirements reviews and agile ceremonies to ensure quality standards are met
Support user acceptance testing and release validation activities
Contribute to continuous improvement of testing frameworks, processes, and quality practices

About the Team

Our Data Estate team delivers scalable and reliable data solutions that support business decision-making across Moody’s. The team partners closely with technology and business stakeholders to improve data quality, enhance operational efficiency, and drive innovation through the adoption of emerging technologies, including artificial intelligence.

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