Job Description

We operate boldly in the iGaming and Entertainment industries, uniting brands worldwide and gathering expertise from diverse markets. We focus on developing and implementing cutting-edge entertainment technology platforms and payment solutions, propelling assets’ expansion and sustainable growth.

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.