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
Key Competencies:
· SAS Data Engineering
· ETL & Data Integration
· Data Modeling
· Data Quality Management
· Performance Optimization
· Analytical Thinking
Requirements
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.