Salary is 130 to 170k + bonus
Extensive experience with Python and proficiency in libraries such as Pandas, NumPy, and similar tools for data manipulation and analysis. You will play a crucial role in developing scalable applications, optimizing data processes, and driving innovative solutions.
Key Responsibilities:
• Design, develop, and maintain robust Python applications that leverage data manipulation libraries like Pandas and NumPy.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Optimize data processing workflows and implement best practices for performance and scalability.
• Conduct code reviews, mentor junior developers, and contribute to team knowledge sharing.
• Troubleshoot and resolve issues in existing applications, ensuring high availability and performance.
• Stay updated with the latest industry trends and technologies, integrating them into our development processes.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in Python development.
• Strong proficiency in data manipulation and analysis using Pandas, NumPy, and similar libraries.
• Experience with RESTful APIs and web services.
• Familiarity with database technologies (SQL and NoSQL).
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills and a proactive approach to project management.
Preferred Skills:
• Experience with cloud platforms (AWS, Azure, etc.) and containerization (Docker, Kubernetes).
• Knowledge of machine learning libraries (e.g., scikit-learn, TensorFlow) is a plus.
• Familiarity with version control systems, such as Git.
