Data Quality Engineer

Moody's is seeking a Data Quality Engineer to ensure the quality, accuracy, and reliability of enterprise data platforms and batch processing pipelines built on Databricks. The role involves owning end-to-end validation of data pipelines, designing automated testing frameworks, and validating data transformations and source-to-target mappings. The position requires collaboration with engineering, platform, and business stakeholders to identify quality risks and ensure successful delivery outcomes.