Senior Python Developer
4 days ago
We are seeking a skilled and experienced Senior Python Developer to join our dynamic team. As a Senior Developer, you will be responsible for designing, developing, and maintaining efficient, reusable, and reliable Python applications, while ensuring high performance and responsiveness. Your contributions will directly impact the success of key projects and initiatives.
Key Responsibilities
· Application Development: Develop, test, and maintain robust Python applications using modern frameworks and tools.
· Design & Architecture: Design scalable, maintainable, and secure software architectures.
· Code Quality: Write clean, efficient, and well-documented code following best practices.
· Collaboration: Work closely with clients and cross-functional teams including Product Managers, Data Engineers, and DevOps.
· Debugging & Optimization: Identify bottlenecks, fix bugs, and optimize applications for performance.
· Integration: Implement APIs, third-party services, and integrations with external systems.
· Mentorship: Provide guidance and mentorship to junior developers as needed.
Required Qualifications
· Experience: Minimum 5 years of professional Python development experience.
· Frameworks: Proficiency in frameworks such as Django, Flask, or FastAPI.
· Database Skills: Experience with relational (PostgreSQL/MSSQL/MySQL) and NoSQL (MongoDB, Redis) databases.
· APIs: Expertise in RESTful API and/or GraphQL development.
· Version Control: Strong experience with Git and collaborative development workflows.
· Testing: Hands-on experience with unit testing and test-driven development (TDD).
· Cloud Platforms: Familiarity with cloud services like AWS, Azure, or Google Cloud.
· DevOps: Basic understanding of CI/CD pipelines and containerization (Docker, Kubernetes).
· Communication: Strong problem-solving skills and ability to communicate technical concepts effectively.
Preferred Qualifications
· Experience with data processing frameworks like Pandas, NumPy, or PySpark.
· Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
· Hands-on experience with event-driven architectures and message brokers (e.g., RabbitMQ, Kafka).
· Knowledge of front-end technologies like JavaScript, React, or Vue.js.
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