Business Unit: Master works
Function: Managed Services
Level: Mid-level
Job location: Client site
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.
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