Python Developer

Python Developer

Key Responsibilities

• Design, develop, test, deploy, and maintain robust, scalable, and secure applications using Python frameworks (e.g., Django, Flask).
• Integrate user-facing elements with server-side logic.
• Implement security and data protection solutions.
• Integrate various data storage solutions, including relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).
• Develop and manage RESTful APIs for internal and external consumption.
• Write comprehensive unit and integration tests to ensure code quality and reliability.
• Collaborate with front-end developers, product managers, and other stakeholders to deliver high-quality products.
• Troubleshoot, debug, and upgrade existing systems.
• Contribute to all phases of the development lifecycle, focusing on continuous integration and continuous delivery (CI/CD).

Required Qualifications

• Experience:

  3+ years of professional experience in software development, with at least 2 years focused on Python.

• Core Language Skills:

  Deep proficiency in Python and its core libraries.

• Web Frameworks:

  Solid experience with at least one major Python framework (Django, Flask, or FastAPI).

• Database Expertise:

  Strong knowledge of SQL, including schema design, query optimization, and experience working with PostgreSQL or MySQL. Familiarity with ORM libraries (e.g., SQLAlchemy).

• API Design:

  Experience designing and implementing robust RESTful APIs.

• Version Control:

  Expert command of Git for source control and collaborative development.

• Problem-Solving:

  Proven ability to analyze complex technical challenges and propose effective solutions.

• Education:

  Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Qualifications (Nice to Have)

• Experience with cloud platforms (AWS, Azure, or GCP) and related services (e.g., Lambda, S3, EC2).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with message queuing systems (e.g., RabbitMQ, Apache Kafka).
• Knowledge of front-end technologies (JavaScript, HTML, CSS) and modern frameworks (React, Angular, Vue).
• Experience in data processing, machine learning libraries (NumPy, Pandas, Scikit-learn), or data engineering pipelines.