Python Developer

Description:

Experience:

• Be proficient in the concepts and features of the Python language, experienced with web frameworks like Flask and FastAPI for developing RESTful APIs, and skilled in asynchronous programming using asyncio. Experience with handling concurrent connections and optimizing I/O operations. Should have a deep understanding of microservices architecture and be capable of writing clean, efficient, and maintainable code.
• Security Best Practices and Requirements
• Understanding of security practices for microservices, including authentication, authorization, and encryption. Experience with securing APIs using OAuth, JWT, and API gateways.

Web Framework Development:

• Design, develop, and maintain scalable web frameworks using Python.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Ensure the web frameworks are secure, performant, and maintainable.

Have a sound knowledge of one or more web frameworks that are based on Python, such as Django, Flask, Pyramid, etc. Should have the know how to use the framework's features, such as routing, templating, database integration, authentication, testing.

Object Relational Mappers (ORMs):

• Develop backend systems to serve datasets through APIs and other interfaces.
• Implement data access layers, integrating with various databases and data storage solutions.
• Optimize backend code for performance, scalability, and reliability.

Be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provide a high-level interface to manipulate data. Some popular ORMs for Python are SQL Alchemy, Django ORM, etc. Should know how to define models, perform CRUD operations, query data, handle transactions.

DevOps Expertise

Demonstrated experience as a core developer with a focus on productionising the framework

CI/CD Proficiency

Strong background in developing and maintaining CI/CD pipelines.

Data Tech Awareness

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing concepts.

Scripting Prowess

Proficiency in scripting and programming languages commonly used in data engineering (e.g. SQL, Shell).

Version Control Savvy

Experience with version control systems (e.g., Git) and collaborative development.