Data Engineer SAS

Responsibilities

• Design, develop, and maintain data engineering processes using SAS Enterprise Guide and SAS Enterprise Miner 9.4
• Implement complex data flows by integrating SAS with relational databases via SQL
• Develop analytical solutions and data pipelines using Python and PySpark
• Optimize existing processes to ensure performance, quality, and scalability
• Participate in the technical design of end-to-end data solutions
• Collaborate with multidisciplinary teams including analytics, business, and architecture
• Ensure best practices in documentation, versioning, and quality control

Requirements

• Solid experience as a Data Engineer in production environments
• Proven mastery of SAS (Enterprise Guide and Enterprise Miner 9.4)
• Advanced SQL knowledge for data modeling and manipulation
• Practical experience with Python and/or PySpark
• Experience working within AWS cloud environments
• Ability to work autonomously with strong analytical thinking and a focus on quality

Benefits

• Competitive salary
• Prepaid medicine
• NEORIS Days (3 days off)
• Annual performance bonus
• Vacation bonus
• Corporate tools
• Training and education platforms

About the Company

NEORIS, now part of EPAM, is a Digital Accelerator with over 20 years of experience supporting the world's largest companies in their technological transformation. With a presence in 11 countries and more than 4,000 professionals, we work within a multicultural culture that drives innovation, strategy, and high-impact communication.