SAS Developer - ETL, Data Quality & Analytics

Capgemini; Whippany (NJ); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

PTO & Holidays

Medical/Dental/Vision

401(k) plan

Life & Disability Insurance

Employee Assistance

Other benefits

Job summary

Capgemini in Whippany, New Jersey is seeking a SAS Developer to develop, maintain, and enhance SAS programs, macros, and scripts. The role includes ETL design and data quality checks, plus collaboration with stakeholders to gather requirements and ensure governance standards.

The candidate will design analytics solutions using SAS tools, perform data validation, and support testing, code reviews, and documentation in a collaborative, global environment.

Qualifications

• Proficiency in Base SAS, SAS Macro and SAS SQL.
• Experience with ETL development and data warehousing.
• Strong analytical and communication skills.

Responsibilities

• Develop, maintain, and enhance SAS programs, macros, and scripts.
• Design and support ETL processes.
• Perform data validation, cleansing, and quality checks.
• Create reporting and analytical solutions using SAS tools.
• Collaborate with business stakeholders to gather requirements.
• Troubleshoot data and application issues.
• Support testing, code reviews, and documentation.
• Ensure compliance with data governance and security standards.

Skills

Base SAS

SAS Macro Programming

SAS SQL / PROC SQL

ETL Development

Relational Databases

Data Warehousing

Reporting & Analytics

Strong analytical and communication

SAS Enterprise Guide

SAS Viya

SAS Visual Analytics

Cloud Platform Exposure

Agile Methodologies

Tools

SAS Enterprise Guide

SAS Viya

SAS Visual Analytics

Job description

Capgemini in Whippany, New Jersey is seeking a SAS Developer to develop, maintain, and enhance SAS programs, macros, and scripts. The role includes ETL design and data quality checks, plus collaboration with stakeholders to gather requirements and ensure governance standards.

The candidate will design analytics solutions using SAS tools, perform data validation, and support testing, code reviews, and documentation in a collaborative, global environment.