Here’s a detailed job description for a **Python Developer**:
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**Job Title**: Python Developer
**Job Summary**:
The Python Developer is responsible for writing efficient, scalable, and maintainable code to develop software applications and systems. The role involves collaborating with cross-functional teams, integrating back-end components, and ensuring that Python-based systems and services meet business requirements. The ideal candidate should be proficient in Python programming, problem-solving, and familiar with software development best practices.
**Key Responsibilities**:
- **Software Development**: Write clean, maintainable, and efficient Python code to build web applications, APIs, and back-end services.
- **System Design**: Design and implement scalable and secure systems, integrating Python code with databases, cloud services, and third-party APIs.
- **Collaborate with Teams**: Work closely with front-end developers, data scientists, system architects, and product managers to ensure that the final product meets functional and technical specifications.
- **Code Review & Testing**: Participate in peer code reviews and ensure that all code is well-tested (unit tests, integration tests) to guarantee the software is reliable and bug-free.
- **Optimize Performance**: Identify performance bottlenecks in the application and work on improving its efficiency, scalability, and response time.
- **Database Integration**: Integrate with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) to manage and retrieve data effectively.
- **Maintain Doentation**: Write clear doentation for software code, APIs, and system architecture to help with future maintenance and collaboration.
- **Troubleshoot & Debug**: Quickly identify and resolve issues related to performance, functionality, and security within the Python codebase.
- **Stay Updated**: Continuously learn about emerging technologies, frameworks, and tools in the Python ecosystem to ensure modern development practices.
**Work Environment**:
- Python developers typically work in an office or remote setting, depending on the company.
- Interaction with product managers, front-end developers, and designers is common, as you’ll be part of a team working on various stages of application development.
- This role requires collaboration and a problem-solving mindset to overcome technical challenges and create high-quality products.
**Skills and Qualifications**:
- **Education**: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- **Experience**: 2+ years of experience in Python development, ideally with experience in web development, APIs, or data processing.
- **Technical Skills**:
- Proficiency in Python programming and frameworks such as Django, Flask, or FastAPI.
- Experience with RESTful APIs and microservices architectures.
- Strong knowledge of object-oriented programming (OOP) principles.
- Experience with databases such as PostgreSQL, MySQL, or MongoDB, including the ability to write efficient queries and optimize database performance.
- Familiarity with version control systems (e.g., Git).
- Understanding of cloud platforms (AWS, Google Cloud, or Azure) is a plus.
- Basic knowledge of front-end technologies (HTML, CSS, JavaScript) is a bonus but not required.
- **Problem-Solving & Analytical Skills**:
- Ability to break down complex problems and design simple, maintainable solutions.
- Strong debugging and troubleshooting skills.
- **Soft Skills**:
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Attention to detail and a commitment to writing clean, well-doented code.
- Strong time management and organizational skills to handle multiple projects and deadlines.
**Preferred Qualifications**:
- Familiarity with Python testing frameworks (e.g., pytest, unittest).
- Experience with DevOps tools and practices, including pipelines.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Knowledge of data science libraries (e.g., pandas, NumPy) if working in data-intensive applications.
- Experience with front-end frameworks (e.g., React, Angular) in full-stack development roles.
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