Qualification : Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Mandatory Required Skills: Proficient Python Programming and Time series data
Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv)
Data Manipulation & Analysis (Pandas & NumPy)
Key libraries: pandas, numpy, (optional: polars)
Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL
Software Engineering Best Practices
Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters
Option skill :Plotly Dash
i. Key skills: Customizing with Plotly Graph Objects for advanced interactivity.
ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables).
iii. REST APIs: Fetching or sending data to backend services
Soft Skills: Strong collaboration, planning, and communication abilities