Senior Python Developer

Key Responsibilities:

• Design, develop, and maintain scalable web applications and services using FastAPI and Flask.
• Should have good knowledge of Jupyter notebooks, IntelliJ-IDE/VSCODE.
• Architect RESTful APIs and integrate them with front-end applications and third-party services.
• Write clean, efficient, and maintainable code that adheres to best practices and coding standards.
• Optimize application performance and scalability to handle high volumes of traffic.
• Implement security best practices including authentication, authorization, and data protection.
• Collaborate with DevOps to ensure seamless deployment and integration with CI/CD pipelines.
• Participate in code reviews, debugging, and unit testing (Pytest) to ensure code quality.
• Work with the team to design database schemas, ensure proper indexing, and optimize queries for performance.
• Contribute to the continuous improvement of development processes and methodologies.
• Design, develop, and maintain custom ETL processes and components in Python.
• Manage the entire ETL lifecycle, including changelog creation, event processing, and data streaming.
• Work extensively with pandas and dataframes for data manipulation and transformation.
• Handle various data formats including CSV and Parquet files.
• Good to have experience in Implementing linear optimization solutions using tools like Gurobi or Google OR.
• Perform parallel processing to optimize data handling and transformation tasks.
• Apply MVC architecture principles in the development of ETL components.
• Utilize advanced Python packages for data engineering, including NumPy.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Optional: Apply knowledge of trucking and supply chain management to enhance data processes.
• Documentation knowledge is required.

Skills and Qualifications:

• Problem solving and analytical skills.
• Proven experience in building custom ETL processes and components using Python.
• Strong expertise in pandas and dataframes.
• Proficiency in handling CSV and Parquet file formats.
• with linear optimization and familiarity with tools like Gurobi or Google OR.
• Solid understanding of parallel processing techniques.
• Knowledge of MVC architecture and its application in ETL processes.
• Experience with advanced Python packages for data engineering, such as NumPy and TigerGraph.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Bonus: Experience in trucking and supply chain management.