Python Lead Developer

Responsibilities:

• Develop and implement network graph analysis solutions from large and complex graph datasets using libraries like NetworkX
• Create interactive and insightful data visualizations using Matplotlib, Seaborn, Plotly, or similar libraries
• Write efficient Python scripts for data manipulation, transformation, and automation (ETL processes) utilizing Pandas and Numpy
• Design Python applications to interact with external REST APIs using libraries such as Requests and urllib
• Handle and parse JSON and XML data formats using libraries like json and lxml for ETL workflows
• Apply Object-Oriented Programming (OOP) concepts effectively in software design
• Develop and maintain AES encryption mechanisms for data security using Python cryptography libraries (e.g., cryptography)
• Build responsive front-end web applications for data visualization and user interaction using Dash or similar frameworks
• Implement parallel processing techniques using Python's multiprocessing module to optimize performance
• Understand and work with XML structure, including tags, elements, attributes, and relationships