Work from Office
Full Time
Develop high-quality, efficient, and scalable Python applications following industry best practices.
Work with Python core data types including lists, tuples, sets, dictionaries, and strings.
Structure code effectively using functions, classes, decorators, modules, and packages.
Develop and optimize code leveraging NumPy arrays for high-performance computations.
Optimize data pipelines and perform grouping, aggregation, and time-series operations using groupby() and related functions.
ndarray structure and memory model
dtypes, shapes, sizes
Deep vs. shallow copying
Broadcasting and vectorization
DataFrame operations
Indexing, slicing, filtering
Merging, joining, and reshaping
High-performance data manipulation and cleaning
Experience optimizing data pipelines at scale.
Familiarity with time-series analysis using Pandas.
Understanding of Python performance tuning, memory optimization, and profiling.
Knowledge of scientific or analytical computing environments.
Exposure to other data-related libraries in the Python ecosystem (e.g., SciPy, Dask, PyArrow).
Python,Pandas,Numpy
UST
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