Data Engineer

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.

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).

Strong analytical skills;

Problem-solving skills;

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.

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