Data Engineer

Growe welcomes those who are excited to:

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Design, develop, and maintain scalable data pipelines using Airflow;

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Create and optimize tables in Athena, ensuring efficient query performance and cost-effectiveness;

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Write and manage SQL transformations in DBT, building reusable and well-documented models;

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Optimize data workflows for performance, reliability, and cost-efficiency;

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Automate infrastructure provisioning using Terraform for data processing environments;

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Ensure data integrity and consistency through monitoring, validation, and error handling;

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Collaborate with analytics, BI, and engineering teams to understand data needs and deliver solutions;

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Troubleshoot and resolve data pipeline issues in a timely manner.

We need your professional experience:

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1+ years of experience in data engineering with a focus on ELT processes;

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Good expertise in Python, SQL, data modeling, and performance optimization;

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Experience with Airflow DAGs for workflow orchestration;

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Experience with DBT for data transformations and modular modeling;

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Understanding of AWS S3, Athena, and data lake architectures;

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Familiarity with Terraform for infrastructure automation (will be a plus).

We appreciate if you have those personal features:

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Strong analytical skills;

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Problem-solving skills;

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Attention to detail.

We are seeking those who align with our core values:

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GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

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DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

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BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.