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An innovative technology firm is on the lookout for a skilled Python Engineer to join their dynamic team. In this role, you will develop robust web frameworks and backend systems that efficiently serve datasets, ensuring data integrity and performance. Your expertise in Python, along with web frameworks like Flask and FastAPI, will be crucial in building scalable solutions. You will also be responsible for implementing security best practices for microservices and collaborating with front-end developers to create seamless user experiences. If you are passionate about coding, problem-solving, and making an impact in a collaborative environment, this opportunity is perfect for you.
We are seeking a skilled Python Engineer to join our dynamic team. The ideal candidate will be responsible for developing robust web frameworks, building backend code to efficiently serve datasets, and performing data transformations to support our data-driven applications. This role requires a deep understanding of Python, web development frameworks, data processing, and database management.
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:
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):
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, and handle transactions.
Data Transformations and Database Management:
Other Skills:
Should also have general skills that are fundamental to any developer, such as:
Communication and teamwork:
Should be able to communicate effectively with clients, stakeholders, and colleagues, and work well in a team. Should be able to write clear and concise documentation, follow coding standards and best practices, and give and receive feedback.
Educational Background:
Bachelor’s degree in computer science, Information Technology, or related field.
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.
Problem-Solving Skills:
Strong problem-solving abilities with great attention to detail.
Communication Skills:
Excellent communication and collaboration skills.
Cloud and Containers Knowledge (Optional):
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is advantageous.
Data Governance Awareness (Optional):
Knowledge of data governance, compliance, and data security best practices is a plus.