Data Engineer

Essential

• Extensive commercial experience in Python.
• Demonstrable practical experience in deploying AI models (for example, multi-source forecasting implementation)
• Attending and contributing to project meetings/ceremonies

Familiarity with:

• Python
• Machine Learning Libraries, for example Scikit Learn
• Node.js
• Jupyter Notebook or Sagemaker (AWS)

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Desirable

• Experience with code reviews / peer reviews

Exposure to or familiarity with:

• the Serverless Framework
• Prophet
• JavaScript
• PostgreSQL
• Linux terminal
• Babel
• WebPack
• Eslint
• Jest
• Webstorm and/or VS Code
• Experience of deploying products in a live environment
• Other AWS Cloud Services e.g.  

• AWS Amplify
• AWS Route53
• AWS Fargate/ECS
• AWS Cognito

• Datadog
• Rollbar
  

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