Python Programmer

About the Role

Python Developer

Key Responsibilities

• Design, develop, and maintain

  Python-based applications

  , scripts, tools, and reusable modules.
• Build and implement

  RESTful APIs

  using frameworks such as

  Django, Flask, or FastAPI

  .
• Integrate applications with databases (SQL and NoSQL) and external services.
  
• Write

  clean, efficient, testable, and scalable code

  following best practices.
• Implement

  unit tests

  , automated testing, and CI/CD pipelines.
• Optimize application performance, reliability, and availability.
  
• Collaborate with product, QA, DevOps, and other developers to deliver high-quality software.
  
• Debug, troubleshoot, and fix issues in production and development environments.
  
• Participate in code reviews and contribute to architectural decisions.
  
• Document system components, code modules, and technical procedures.
  

Required Qualifications

• Bachelors degree in Computer Science, IT, or related field (or equivalent experience).
  
• Strong proficiency in

  Python 3

  and core concepts (OOP, multithreading, async programming).
• Hands-on experience with at least one major framework:
  

• Django

• Flask

• FastAPI

• Experience with relational databases (MySQL, PostgreSQL) or NoSQL (MongoDB).
  
• Familiarity with version control systems like

  Git

  .
• Knowledge of REST APIs, microservices architecture, and API authentication.
  
• Understanding of package management (pip, venv, poetry).
  
• Experience with writing

  unit tests

  using PyTest or unittest.

Preferred Qualifications

• Experience with cloud services (AWS, Azure, GCP).
  
• Knowledge of Docker and containerized application development.
  
• Experience with asyncio, Celery, Redis, Kafka, or RabbitMQ.
  
• Background in data processing, ETL, or automation.
  
• Familiarity with front-end technologies (React, JavaScript) is a plus.
  
• Experience in continuous integration tools (GitHub Actions, GitLab CI, Jenkins).
  
• Exposure to Machine Learning or Data Science libraries (NumPy, Pandas, TensorFlow).
  

Soft Skills

• Strong analytical and problem-solving skills.
  
• Good communication and teamwork abilities.
  
• Ability to manage time, prioritize tasks, and deliver within deadlines.
  
• Attention to detail and commitment to quality.