Python Developer

As a Python Developer at [Your Company Name], you will be responsible for designing, developing, and maintaining Python-based applications and systems. You will work closely with cross-functional teams to deliver robust, scalable, and high-performance solutions. Your expertise in Python and related technologies will be crucial in driving our projects to success.

Key Responsibilities:

• Application Development: Design, build, and maintain efficient, reusable, and reliable Python code for various applications and services.
• Frameworks and Libraries: Utilize frameworks and libraries such as Django, Flask, Pandas, and NumPy to enhance application functionality and performance.
• Database Management: Develop and manage database schemas and interact with SQL and NoSQL databases using ORMs or direct SQL queries.
• API Development: Create and consume RESTful APIs and ensure seamless integration with other services and applications.
• Testing and Debugging: Write and execute unit tests to ensure code quality and reliability. Debug and resolve software defects and performance issues.
• Code Quality: Follow coding standards and best practices, including adhering to PEP 8 guidelines. Conduct code reviews and provide constructive feedback.
• Collaboration: Work closely with product managers, designers, and other developers to understand requirements and deliver solutions that meet business needs.
• Documentation: Document code, processes, and technical specifications to support ongoing maintenance and future development.
• Continuous Learning: Stay up-to-date with the latest industry trends, technologies, and best practices to continuously improve skills and apply new knowledge to projects.

Requirements:

• Experience: Proven experience as a Python Developer or similar role with a strong portfolio of Python projects.
• Technical Skills:
• Proficiency in Python programming and a solid understanding of its syntax and features.
• Experience with Python frameworks such as Django or Flask.
• Knowledge of data manipulation libraries like Pandas and NumPy.
• Experience with SQL and NoSQL databases and ORM tools like SQLAlchemy or Django ORM.
• Familiarity with API development and integration.