Data Engineer

📋 Description

• Design, develop, and maintain scalable and reliable data pipelines using Airflow
• Design and optimize Athena tables and queries, ensuring efficient performance and cost-effectiveness
• Develop and maintain data transformations in dbt, building reusable, testable, and well-documented
• Optimize data workflows for performance, reliability, and cost-efficiency
• Automate infrastructure provisioning and configuration using Terraform
• Ensure data quality, integrity, and consistency through monitoring, validation, testing, and error

🎯 Requirements

• 3+ years of experience in Data Engineering, with hands-on experience building and maintaining ELT
• Strong SQL skills, including data modeling, query optimization, and performance tuning
• Hands-on experience with Airflow for workflow orchestration and DAG development
• Practical experience with dbt for data transformation, testing, and modular data modeling
• Hands-on experience with AWS S3 and Athena, and a solid understanding of data lake architectures
• Experience with Terraform for infrastructure provisioning and automation

🎁 Benefits

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our
• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and
• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win