🛠 Tech Stack

💼 About This Role

You'll design and maintain data engineering processes using SAS EG and EM for high-complexity analytical projects. You'll integrate SAS with AWS cloud services to ensure scalable, high-quality data solutions. This role offers autonomy within a global digital accelerator.

🎯 What You'll Do

• Design and develop data engineering processes using SAS EG and EM 9.4
• Implement complex data flows integrating SAS with relational databases via SQL
• Develop analytical solutions and data pipelines using Python and PySpark
• Optimize existing processes for performance, quality, and scalability

📋 Requirements

• Solid experience as a Data Engineer in production environments
• Proven mastery of SAS (Enterprise Guide and Enterprise Miner 9.4)
• Advanced knowledge of SQL for data modeling and manipulation
• Practical experience with Python and/or PySpark

✨ Nice to Have

• Experience with AWS cloud environments
• Ability to work autonomously with analytical thinking
• Focus on quality and documentation best practices

🎁 Benefits & Perks

• 💰 Competitive salary
• 🏥 Prepaid medical insurance
• 🏖️ NEORIS Days (3 extra paid days off)
• 🎉 Annual performance bonus
• 📚 Training platforms

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min