Python Developer

Python Developer

Posted Today by Mpower Plus UK Ltd

Negotiable
Undetermined
Undetermined
London, UK

Summary: The Python Developer role requires extensive hands-on experience in Python programming, typically within a 6-10 year range. Candidates should possess advanced SQL capabilities and practical exposure to data handling and analysis using libraries like Pandas and NumPy. The position also demands proven experience in designing and developing APIs using frameworks such as Flask, FastAPI, or Django, along with a strong grasp of data structures and optimization techniques.

Key Responsibilities:

  • Extensive hands-on experience in Python programming, typically within a 6-10 year range
  • Advanced SQL capabilities, including writing efficient queries and working with high-volume datasets
  • Practical exposure to data handling and analysis using libraries like Pandas and NumPy
  • Proven experience in designing and developing APIs using frameworks such as Flask, FastAPI, or Django
  • Strong grasp of data structures with the ability to optimize code for better performance
  • Experience working in data-intensive environments, focusing on scalability and efficiency improvements
  • Familiarity with Linux/Unix systems, along with basic Scripting for automation tasks

Key Skills:

  • Python programming (6-10 years experience)
  • Advanced SQL capabilities
  • Data handling and analysis using Pandas and NumPy
  • API design and development (Flask, FastAPI, Django)
  • Data structures optimization
  • Experience in data-intensive environments
  • Familiarity with Linux/Unix systems
  • Basic scripting for automation tasks

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Extensive hands-on experience in Python programming, typically within a 6-10 year range
Advanced SQL capabilities, including writing efficient queries and working with high-volume datasets
Practical exposure to data handling and analysis using libraries like Pandas and NumPy
Proven experience in designing and developing APIs using frameworks such as Flask, FastAPI, or Django
Strong grasp of data structures with the ability to optimize code for better performance
Experience working in data-intensive environments, focusing on scalability and efficiency improvements
Familiarity with Linux/Unix systems, along with basic Scripting for automation tasks