Python Developer - Flask/Django

Description :

- 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 : Bachelors 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.