Description

Key Responsibilities

 

• Design, develop, and maintain using Fast API and Flask.
• Write clean, reusable, and efficient code in Python.
• Work with large datasets using NumPy and Pandas for data transformation and analysis.
• Collaborate with cross-functional teams to gather requirements and implement backend services.
• Optimize applications for performance, scalability, and reliability.
• Implement security and data protection protocols in API services.
• Write unit and integration tests to ensure code quality.
• Maintain documentation for code, APIs, and system architecture.
  
   

Required Skills & Qualifications

 

• Strong programming skills in Python.
• Proficiency in developing APIs using Fast API and/or Flask.
• Experience with data manipulation libraries like NumPy and Pandas.
• Experience as Lead.
• Familiarity with REST principles and asynchronous programming.
• Experience with version control tools like Git.
• Understanding CI/CD pipelines and containerization (e.g., Docker) is a plus.
• Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience

Key Skills

Education

Bachelor's degree