Data Engineer
London, South East, England, United Kingdom
eTeam Inc
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 More ❯
Employment Type: Contractor
Rate: Salary negotiable
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