Python Developer pipeline
Summary
Builds and maintains Python-based backend services and APIs using Django, Flask, or FastAPI, designs scalable architectures, and manages relational/non-relational databases.
Introduction
Driven by a passion for uncovering insights from data and transforming raw information into actionable strategies, enthusiastic about applying analytical skills to contribute meaningfully as a Data Analyst. With a solid foundation in statistical analysis, data manipulation, and visualization techniques.
Duties & Responsibilities
Software Development: Write clean, maintainable, and efficient code in Python according to best practices. Develop backend services, APIs, and web applications using Python-based frameworks such as Django, Flask, or FastAPI.
Requirements Analysis: Collaborate with stakeholders to gather and analyze requirements for new features or enhancements. Translate business requirements into technical specifications and design solutions that meet user needs.
System Architecture: Design scalable and high-performance software architectures for Python-based applications. Architect solutions that are modular, reusable, and extensible, considering factors such as scalability, security, and maintainability.
Database Management: Design and implement database schemas, queries, and optimizations for relational and non-relational databases like MySQL, PostgreSQL, MongoDB, etc. Ensure data integrity, consistency, and security in database operations.
Testing and Debugging: Write unit tests, integration tests, and end-to-end tests to ensure the reliability and correctness of software components. Debug and troubleshoot issues in existing codebases, identifying and resolving bugs in a timely manner.
Desired Experience & Qualification
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Years/months of experience in Python development, with proficiency in Python programming language and its ecosystem.
- Experience with Python-based frameworks such as Django, Flask, FastAPI, etc.
- Strong understanding of software development principles, including object-oriented programming, design patterns, and data structures.
- Proficiency in database management and SQL, with experience working with relational and non-relational databases.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and DevOps practices is desirable.
- Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.