Morningstar is hiring a QA automation engineer focused on data quality, based in Mumbai. You need 2+ years of data quality or data testing experience and a degree in a finance, economics or engineering discipline. You will design and maintain automated data quality frameworks such as Great Expectations, AWS Glue Data Quality or Amazon Deequ, set quality metrics for multi-asset financial datasets, and build automated checks that catch anomalies, outliers, missing or stale data and reconciliation breaks. You will validate investment data from providers like Bloomberg, FactSet and LSEG, build source-to-target reconciliation across ingestion, transformation and reporting layers, and work closely with data engineering teams.