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Python Back-End Developer

Industry: Technology
Remote
Company size: 11-50
Full-time

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Job description

A US-based company that is working to curate a fashion brand for the digital-first generation, is looking for a Python Back-End Developer. The selected candidate will be responsible for managing and documenting tools, strategies, and data pipelines. The organization uses technology to disrupt the entire fashion lifecycle, from design to manufacturing, and to provide different customer experiences through their storefront properties. This is an incredible opportunity for developers to join an innovative company that is creating game-changing inventions. 


Job Responsibilities:

  • Design and execute low-latency, high-availability, and high-performing applications
  • Develop reusable, efficient, testable, and scalable codeIntegrate user-facing elements with server-side logic in collaboration with front-end developers
  • Integrate data to turn them into insights to drive better and faster decision-making
  • Work on existing databases to enhance functionality
  • Manage and create documentation for tools, strategies, and data pipelines
  • Actualize security and data protection
  • Coordinate with internal engineering and development teams to understand requirements and develop solutions

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 6+ years of relevant experience as a software developer
  • Knowledge of Python programming language, maintaining multiple versions of Python via Anaconda or similar frameworks
  • Experience with building applications via service frameworks such as Flask, FastAPI, or Django
  • Experience with integrating with databases such as PostgreSQL and MongoDB via available ORMs like SQLAlchemy, Motor, etc.
  • Knowledge of tools to manage different environments via env files or poetry
  • Working knowledge of Azure cloud is nice to have
  • Familiarity with Web scraping via Scrapy or others is desirable
  • Experience with Data Analytics libraries is a plus
  • Proactive communication skills is a must
  • Fluency in written and conversational English

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