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.
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.
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