Senior Python Developer

Globus.ai

Job Title
Senior Python Developer
Job Description
  • Design and development of data processing pipelines, including design and optimisation of data architecture
  • Build and maintain the infrastructure needed to optimally extract, transform and load data from various sources to various destination
  • Documenting architecture and data processing schemes
  • Debugging, testing and fixing errors in your own and other's code
  • Interaction with team members, including development of technical specifications and code reviews
  • Participate in discussions on data processing solutions, ETL/ELT processes and automation of data processing workflows, including coordination with back-end developers, data analysts and QA engineers
  • Ensuring compliance with IT security and GDPR policies .
Restrictions
  • Telecommuting is OK
  • Agencies are OK
Requirements

We are looking for a candidate with at least 5 years of experience in IT and expect you to have:

  • Solid knowledge and experience with OOD, OOP & Design Patterns
  • Deep understanding and experience with applying Clean Code principles
  • Experience with REST APIs
  • Experience with MongoDB
  • Experience with Docker
  • Experience with Jupyter
  • Experience with Microsoft Azure
  • Experience with Agile and Jira
  • Excellent team player skills: ability to work on all levels of technical proficiency to understand needs and communicate work
  • Innovative approach and ability to think out-of-the-box in order to relentlessly minimise the work scope.

It would be a plus if you have on-hands experience with:

  • Azure Functions
  • Azure Batch
  • Azure Kubernetes Service
  • Azure Security & Key Vaults
  • Azure Virtual Machines & Virtual Networks
  • Linux shell scripting
About the Company

Globus AI is a Norwegian scale-up with a SaaS solution for staffing agencies. Combining design, artificial intelligence, and machine learning, we have created the next generation, digital staffing assistant. It uses existing systems and data to create smart automation in the process of connecting incoming job orders with suitable available candidates.

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