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SAS Data, Engineer

Job Description - SAS Data, Engineer

Description

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
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