Junior Data Engineer

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.




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