We are looking for a highly skilled 10+ year of Principal Data Engineer with strong expertise in Data Masking, ETL, Python, SQL, and hybrid cloud/on-premise environments. This role focuses on modernizing test data management solutions and supporting non-production data environments. Key Responsibilities: • Transform and prepare non-production datasets by masking PII and creating test/dev environments • Design and develop scalable ETL and data transformation solutions • Build reusable Python-based pipelines, automation scripts, and APIs • Work across hybrid cloud and on-premise data ecosystems • Expose enterprise data systems through APIs using Python frameworks • Collaborate with engineering and business teams to modernize test data management capabilities • Mentor team members and promote engineering best practices AWS experience including RDS, IAM, and S3 Hands-on experience with Data Masking tools such as Delphix, Optim, Informatica, DATPROF