QA Engineer - Databricks

At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we re advancing AI to move from insight to action-enabling 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.

Ensure data quality, reliability, and correctness across large scale Databricks batch pipelines through automated validation and testing practices.

Our Data Platform and Engineering team is responsible for building and maintaining scalable, high quality data solutions that power critical business insights and analytics. By joining this team, you will collaborate with cross-functional experts across engineering, product, and platform functions to drive innovation in modern data architectures using Databricks and Delta Lake. The team is committed to adopting automation, advanced analytics, and responsible AI practices to ensure reliable and high performing data ecosystems.