Sas Dataflux Developer / Lead

Job Title: SAS DataFlux Developer/Lead Job Location: Not Specified Experience Required: 5-12 years About the Role: We are seeking a SAS DataFlux Developer/Lead to design, implement, and manage enterprise-grade data quality, data integration, and data governance solutions using SAS DataFlux & SAS DI platforms. The role will support large-scale data programs across healthcare. Key Responsibilities: • Design and implement data quality frameworks using SAS DataFlux Data Management Studio / DataFlux Web Studio • Develop and maintain data profiling, cleansing and standardization rules, match/merge and deduplication logic, and data enrichment workflows • Build and optimize ETL pipelines using SAS Data Integration Studio (SAS DI) • Collaborate with business stakeholders to define data quality rules, scorecards, and governance standards • Implement data reconciliation, validation, and audit controls • Develop data quality dashboards, reports, and scorecards for business visibility • Integrate DataFlux with RDBMS (SQL Server, Oracle, Teradata) and external systems and data feeds • Support data governance initiatives including metadata management and lineage tracking • Perform performance tuning, job scheduling, and production support • Troubleshoot and resolve data quality issues and perform root cause analysis Required Qualifications: • Strong experience with SAS DataFlux (DMS / Web Studio) and SAS Data Integration Studio (SAS DI) • Hands-on experience with data profiling, cleansing, transformation, and matching • Strong SQL skills (SQL Server, Oracle, Teradata) • Experience with ETL processes and data warehousing concepts • Knowledge of data governance and metadata management • Familiarity with data quality dashboards and reporting frameworks • 5–12+ years experience in Data Engineering / Data Quality • Minimum 2–5 years hands-on with SAS DataFlux Preferred Qualifications: • Experience in Healthcare domains • Exposure to MDM (Master Data Management), cloud platforms (Azure/AWS), and Python/scripting for automation • Knowledge of data lineage tools and governance frameworks