Dunnhumby - Senior Engineer - Python Frameworks (6-10 yrs)

Job Overview :

We are looking for a highly skilled Senior Python Developer with expertise in API development (FastAPI, Uvicorn) and data operations libraries (Numpy, Pandas, Pyarrow, Pydantic etc.) to join our engineering team. As a Senior Engineer, you will be responsible for designing, developing, and optimizing Python-based APIs and services. You'll collaborate with cross-functional teams to deliver efficient and scalable software solutions that meet business needs.

Key Responsibilities :

- API Development: Design, develop, and maintain high-performance APIs, ensuring their integrations with other systems and meet scalability and performance requirements.

- Data Processing: Utilize python data libraries to handle, transform, and validate data efficiently.

- Testing & Debugging: Write unit and integration tests to ensure code reliability and performance; troubleshoot and debug complex issues.

- System Design: Participate in the architecture and design of data-science driven systems and services, ensuring robustness and scalability.

- Best Practices & NFRs: Implement coding best practices, and ensure NFRs like observability, resiliency, scalability are maintained in the application code.

- Cloud Deployment: Deploy and manage APIs and data services on cloud platforms such as AWS, Azure, or GCP, ensuring secure and efficient operations.

- Agile Methodology: Actively participate in Agile processes, including daily stand-ups, sprint planning, and retrospectives.

Required Skills and Experience :

- 6-10 years of Python based application development experience with a focus on API based microservices in distributed systems.

- API Development Expertise: Strong experience with FastAPI and Uvicorn for API development, with a focus on scalability and performance.

- Data Libraries: Proficiency in Python data libraries, including Numpy, Pandas, Pyarrow, and Pydantic, for data manipulation and validation.

Python Proficiency :

- Strong Python programming skills, including a deep understanding of Python's data structures and algorithms.

- Cloud Platforms: Hands-on experience with cloud services such as AWS, Azure, or GCP for deployment and management.

- Testing Frameworks: Familiarity with testing frameworks such as Pytest or Unittest.

- Version Control: Proficiency with Git or other version control systems.

- Problem Solving: Strong analytical skills with a proven ability to solve complex technical challenges.

- Agile Development: Experience working in Agile/Scrum environments.