
Python Architect
4 weeks ago
The Data Services and Data Enablement team is looking for smart, passionate, and curious people who are excited to help us scale, support, and engineer our database, distributed analytics, and streaming infrastructure.
With the broad reach of the technologies we are using, you will have the opportunity to grow your network and skills by being exposed to new people and ideas who work on a diverse set of cutting-edge technologies. If you are the type of person who is fascinated by engineering extremely large and diverse data systems, and if you are passionate about troubleshooting challenging technical problems in a rapidly innovating cloud environment, you could be a great fit.
Key Responsibilities :
- Design and architect robust, scalable, and secure Python applications.
- Define and enforce coding standards, design patterns, and best practices.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Lead code reviews, performance tuning, and refactoring efforts.
- Guide and mentor development teams on Python technologies and architecture decisions.
- Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform.
- Ensure integration with front-end components, databases, and third-party services.
- Stay current with emerging technologies and industry trends.
- Proficiency in Python programming, and knowledge of advanced concepts like multithreading, async programming, and design patterns.
- Strong knowledge of databases (SQL and NoSQL) and experience designing data models and working with ORM (e.g , SQLAlchemy).
- Solid understanding of system design, network protocols, and APIs (REST, GraphQL).
Requirements :
- Strong understanding of Python frameworks such as Django, Flask, FastAPI, etc.
- Experience with microservices architecture and RESTful API design.
- Proficiency in database technologies (SQL and NoSQL).
- Familiarity with DevOps practices, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving skills and attention to detail.
- Strong communication and leadership skills.
(ref:hirist.tech)-
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