Junior Data Engineer

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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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  1.5+ 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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  Hands-on 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).

  
  

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  Strong analytical skills;

  
  


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  Problem-solving skills;

  
  


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  Attention to detail.

  
  

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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.

  
  

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