Let's begin! QA Engineer Data Platforms (Databricks)

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity helping our clients navigate uncertainty with clarity speed and confidence.

If you are excited about this opportunity but do not meet every single requirement please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship lead with curiosity champion diverse perspectives turn inputs into actions and uphold trust through integrity.

Skills and Competencies

• 5 years of experience in Software Quality Assurance Data Quality Engineering or testing enterprise-scale data platforms
• Hands-on experience validating data solutions built on Databricks including workflows notebooks jobs and Delta Lake
• Strong proficiency in SQL Python and PySpark with experience developing automated testing and data validation frameworks
• Experience testing large-scale batch data pipelines data transformations reconciliation processes and source-to-target integrations
• Strong understanding of data quality principles including completeness accuracy consistency timeliness and business rule validation
• Experience with Agile delivery methodologies and test management tools such as Jira and Xray
• Excellent analytical problem-solving communication and stakeholder management skills
• Demonstrated proficiency in artificial intelligence concepts with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to leverage AI-powered solutions to improve testing effectiveness while maintaining awareness of responsible and ethical AI practices

Education

• Bachelors degree in Computer Science Information Systems Engineering Data Science or a related technical discipline
• Relevant testing cloud or data engineering certifications are preferred

Responsibilities

• Ensure the quality accuracy and reliability of enterprise data platforms and batch processing pipelines built on Databricks.
• Own end-to-end validation of data pipelines across Bronze Silver and Gold data layers to ensure data integrity and business rule compliance
• Design develop and maintain scalable automated testing frameworks using Python and PySpark to improve efficiency coverage and reliability
• Validate data transformations schema changes reconciliation processes and source-to-target mappings across complex datasets
• Execute integration regression end-to-end and data quality testing for data products workflows and scheduled processing jobs
• Define and maintain testing strategies test cases test data execution results and release validation documentation
• Partner closely with engineering platform product and business stakeholders to identify quality risks and ensure successful delivery outcomes
• Monitor track and communicate testing progress quality metrics defects and release readiness using established governance processes
• Contribute to continuous improvement initiatives by identifying opportunities to enhance automation testing standards and quality engineering practices

About the Team

Our Data Engineering and Analytics team is responsible for delivering scalable reliable and high-quality data platforms that power critical business insights and decision-making across Moodys. The team partners closely with technology product and business stakeholders to build modern cloud-based data solutions improve data governance and quality standards and enable trusted analytics at scale. By joining our team you will work with advanced data technologies including Databricks and cloud-native platforms while contributing to the adoption of AI-enabled solutions that improve operational efficiency innovation and data-driven decision making across the organization.

Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status sexual orientation gender expression gender identity or any other characteristic protected by law.

Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy including remediation of positions in those holdings as necessary.