Overview
On Site
$30 - $50
Contract - Independent
Contract - W2
Skills
Python Developer
Job Details
Title: Python Developer - Onsite - Detroit MI - W2 contract
Python Developer
A Python Developer is responsible for designing, developing, and implementing high-quality software solutions using Python and related technologies. The role involves writing efficient, reusable, and scalable code while collaborating closely with cross-functional teams to deliver robust applications.
Responsibilities
Python Developer
A Python Developer is responsible for designing, developing, and implementing high-quality software solutions using Python and related technologies. The role involves writing efficient, reusable, and scalable code while collaborating closely with cross-functional teams to deliver robust applications.
Responsibilities
- Develop, test, and maintain Python-based applications, APIs, and backend services.
- Write clean, efficient, and well-documented code following best practices.
- Collaborate with product managers, architects, and other developers to define requirements.
- Integrate applications with databases, third-party APIs, and cloud services.
- Implement automation scripts, tools, and frameworks to support development and operational needs.
- Troubleshoot and resolve software issues, performance bottlenecks, and bugs.
- Participate in code reviews, technical discussions, and continuous improvement initiatives.
- Ensure application security, scalability, and reliability.
- Stay updated with emerging Python frameworks, libraries, and industry trends.
- Strong hands-on experience with Python and frameworks such as Django, Flask, or FastAPI.
- Proficiency in REST API development and microservices architecture.
- Solid understanding of object-oriented programming and design patterns.
- Experience with SQL/NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.
- Familiarity with version control tools like Git.
- Exposure to cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.
- Experience with Docker, CI/CD pipelines, and automated testing frameworks (PyTest, unittest).
- Strong problem-solving and debugging skills.
- Excellent communication and teamwork abilities.
- Experience with asynchronous programming (AsyncIO).
- Knowledge of data pipelines, ETL, or machine learning libraries (Pandas, NumPy, Scikit-Learn).
- Understanding of DevOps practices and container orchestration tools like Kubernetes
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