Hirexa Solutions
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer on a contract of "length" with a pay rate of "rate". Key skills include Python, Pandas, NumPy, Plotly Dash, and software engineering best practices. Experience with data manipulation and SQL is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Libraries #REST (Representational State Transfer) #Unit Testing #Data Manipulation #Documentation #Pandas #Plotly Dash #REST API #Python #NumPy #GIT #Plotly #SQL (Structured Query Language) #Data Cleaning #Version Control #Programming #Pytest #HTML (Hypertext Markup Language)
Role 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
• 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
