Job Description:
Hands on programming experience with:
i. Proficient Python Programming
ii Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling,
iii. Working with virtual environments and package management (pip, venv)
Data Manipulation & Analysis (Pandas & NumPy)
i. Key libraries: pandas, numpy, (optional: polars)
ii.Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL
Software Engineering Best Practices
i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters
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
Plotly experience (#4) is a plus. If we find someone that is proficient in #1, #2, and #3, then, they can pick up Dash during the engagement.
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