SAS Developer - ETL & Analytics Specialist

Capgemini; New York (NY); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking an experienced Data Engineer focused on SAS-based data pipelines in Whippany, NJ. You will develop, optimize, and maintain SAS programs and ETL processes to deliver reliable data, robust reporting, and analytics for business stakeholders.

The role emphasizes data governance, quality checks, and documentation, with opportunities to contribute to BI solutions and data-driven decision making in a collaborative environment.

Qualifications

• Proficient in Base SAS and SAS Macro Programming with experience in SAS SQL/PROC SQL.
• Experience designing, implementing, and maintaining SAS programs and macros for data processing and reporting.
• Strong analytical and communication skills for collaborating with stakeholders.

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 technical 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

Tools

SAS Enterprise Guide

SAS Viya

SAS Visual Analytics

Cloud Platform Exposure

Agile Methodologies

Job description

Capgemini is seeking an experienced Data Engineer focused on SAS-based data pipelines in Whippany, NJ. You will develop, optimize, and maintain SAS programs and ETL processes to deliver reliable data, robust reporting, and analytics for business stakeholders.

The role emphasizes data governance, quality checks, and documentation, with opportunities to contribute to BI solutions and data-driven decision making in a collaborative environment.