Position: Python Developer
Location: Dubai (On-site)
Experience: 5+ years
Notice Period: Immediate - 30 days
Skillset:
Roles and Responsibilities:
Core Python: 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, and 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.
Some popular ORMs for Python are SQLAlchemy, Django ORM, etc.
Should know how to define models, perform CRUD operations, query data, and handle transactions.
Data Transformations and Database Management: Design and maintain database schemas to support application requirements.
Optimize database performance and ensure efficient data retrieval.
Implement and manage data storage solutions, both relational and NoSQL.
Design and implement data transformation pipelines to process and prepare data for analysis.
Utilize ETL (Extract, Transform, Load) processes to clean, aggregate, and enrich data.
Ensure data integrity, quality, and consistency across all transformation processes.