Data Engineer

Growe welcomes those who are excited to: • Design, develop, and maintain scalable data pipelines using Airflow; • Create and optimize tables in Athena, ensuring efficient query performance and cost-effectiveness; • Write and manage SQL transformations in DBT, building reusable and well-documented models; • Optimize data workflows for performance, reliability, and cost-efficiency; • Automate infrastructure provisioning using Terraform for data processing environments; • Ensure data integrity and consistency through monitoring, validation, and error handling; • Collaborate with analytics, BI, and engineering teams to understand data needs and deliver solutions; • Troubleshoot and resolve data pipeline issues in a timely manner. We need your professional experience: • 1+ years of experience in data engineering with a focus on ELT processes; • Good expertise in Python, SQL, data modeling, and performance optimization; • Experience with Airflow DAGs for workflow orchestration; • Experience with DBT for data transformations and modular modeling; • Understanding of AWS S3, Athena, and data lake architectures; • Familiarity with Terraform for infrastructure automation (will be a plus). We appreciate if you have those personal features: • Strong analytical skills; • Problem-solving skills; • Attention to detail. We are seeking those who align with our core values: • GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals; • DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success; • BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.