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. We need your professional experience: 1.5+ years of experience in data engineering with a focus on ELT processes; Good expertise in Python, SQL, data modeling, and performance optimization; Hands-on 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.