Job Description

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

equirements:

· 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.