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.
Ukraine