Data Engineer

Growe welcomes those who are excited to:
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Design, develop, and maintain scalable and reliable data pipelines using Airflow;
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Design and optimize Athena tables and queries, ensuring efficient performance and cost-effectiveness;
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Develop and maintain data transformations in dbt, building reusable, testable, and well-documented data models;
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Optimize data workflows for performance, reliability, and cost-efficiency;
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Automate infrastructure provisioning and configuration using Terraform;
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Ensure data quality, integrity, and consistency through monitoring, validation, testing, and error handling;
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Collaborate with Analytics, BI, and Engineering teams to understand data requirements and deliver effective data solutions;
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Troubleshoot and resolve data pipeline and data quality issues in a timely manner.
We need your professional experience:
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3+ years of experience in Data Engineering, with hands-on experience building and maintaining ELT pipelines;
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Strong Python and SQL skills, including data modeling, query optimization, and performance tuning;
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Hands-on experience with Airflow for workflow orchestration and DAG development;
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Practical experience with dbt for data transformation, testing, and modular data modeling;
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Hands-on experience with AWS S3 and Athena, and a solid understanding of data lake architectures;
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Experience with Terraform for infrastructure provisioning and automation.
We appreciate if you have those personal features:
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Strong analytical and problem-solving skills with attention to detail;
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Ability to work independently while collaborating effectively within a team;
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Proactive mindset and willingness to continuously learn and improve.
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.