SAS Data Engineer

Design, build, and prepare data pipelines and data models within the SAS software environment to ensure reliable, high-quality data for analytics and reporting.
Responsibilities: ·       Develop and maintain data pipelines using SAS (Base SAS, SAS Data Management, SAS DI).
·       Extract, transform, and load (ETL) data from multiple sources into SAS platforms.
·       Design and optimize data models to support analytics and reporting use cases.
·       Ensure data quality, accuracy, and consistency across datasets.
·       Optimize data processing performance and resolve data issues.
·       Collaborate with analytics, BI, and business teams to support data requirements.
·       Document data processes, workflows, and technical solutions.
Preferred Skills: ·       Experience with SAS Viya ·       Knowledge of SQL and relational databases ·       Experience with data warehousing concepts ·       Familiarity with cloud-based data platforms ·       Understanding of data governance and security ·       Experience in banking or regulated environments SAS certifications (preferred) Key Competencies: ·       SAS Data Engineering ·       ETL & Data Integration ·       Data Modeling ·       Data Quality Management ·       Performance Optimization ·       Analytical Thinking Collaboration & Communication Requirements: ·       Bachelor’s degree in Computer Science, Information Systems, or related field.
·       5+ years of experience working as a SAS Data Engineer or similar role.
·       Strong hands-on experience with the SAS platform.
·       Solid understanding of ETL, data warehousing, and data modeling concepts.
Experience working with databases and large datasets.