Python Data Engineer
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Key skills for this role
About the Role
Valuelabs seeks a skilled Python Engineer to develop robust web frameworks, build backend code to serve datasets, and perform data transformations. The role requires deep understanding of Python, web frameworks like Flask and FastAPI, microservices architecture, and database management.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain scalable web frameworks using Python
- Build backend systems to serve datasets through APIs and other interfaces
- Design and implement data transformation pipelines using ETL processes
- Design and maintain database schemas to support application requirements
- Optimize backend code for performance, scalability, and reliability
- Implement data access layers integrating with various databases and data storage solutions
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related field
- Proficiency in Python and web frameworks like Flask and FastAPI
- Experience with microservices architecture and asynchronous programming
- Strong background in developing and maintaining CI/CD pipelines
- Experience with version control systems like Git
- Experience with SQL and NoSQL databases
Full Job Posting
Role & Responsibilities
- 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.
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: 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.
- 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.
Other Skills
- Debugging and testing: Should be able to use tools and techniques to find and fix errors in code, such as logging, breakpoints, unit testing, integration testing.
- Version control: Should be able to use version control systems, such as Git, to manage code and collaborate with other developers.
- Communication and teamwork: Should be able to communicate effectively with clients, stakeholders, and colleagues, and work well in a team.
Required Skills and Qualifications
- 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.
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