Job Description

Role & responsibilities Writing modular, well-documented Python code to support various projects. Debugging, testing, and refining existing Python modules for better performance. Working with data using libraries like Pandas and NumPy to process and analyze information. Creating customized visualizations using tools like Plotly, Matplotlib, or Seaborn to present insights effectively. Managing and maintaining code repositories using Git and following best practices in version control. Exploring cloud platforms like AWS, Databricks, or GCP for integration when needed. Occasionally working with shell scripting or package development to improve workflows. Preferred candidate profile Bachelors/Masters Degree in Engineering, Computer Science, or related fields. Interest in core programming principles and an understanding of the importance of code structure. Passion for writing clean, simple, and efficient code that is easy to maintain. Ability to quickly understand, debug, and enhance existing projects while contributing effectively. Eagerness to learn and adapt to evolving technologies and best practices in software development.