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Data Engineer at Growe. Location Information: Anywhere. . . 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.. . . .