The position involves performing SAS Data Quality (DQ) conversion tasks to modernize and optimize legacy data processes. The role requires writing, optimizing, and translating complex SQL queries across multiple SQL dialects, with a focus on Teradata and SAS SQL. Collaboration with data architects, analysts, and business stakeholders is essential to understand data requirements and deliver reliable data pipelines. Additionally, the role includes assisting in data integration, transformation, and migration efforts across platforms, monitoring and troubleshooting ETL jobs and data workflows to ensure data accuracy and reliability, participating in code reviews, testing, and documentation to maintain high-quality standards, and supporting data governance and quality initiatives as part of the data engineering team.