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Python Programmer

This position is closed as on 2021-03-01

Technical expertise


  • Primary Skills (Must-have)


    • Writing reusable, testable, and efficient codes
    • Good Understanding of Datatypes (numeric, integer, character, float, boolean etc.)  & Data Structures (List, Dictionary, tuple, set etc.), Inter-Conversion between these data structures.
    • File IO & File Formats (Reading and Writing txt, csv, excel, psv, pkl & bin files)
    • Conditional & Iterative control statements & Handling of date values in Python.
    • Functions (User Defined & Built-in functions), Apply, Lambda Functions, Map, Filter, Transform Functions & Operators (Logical, Relational & Special Operators)
    • Sub setting using indices, names, Boolean values on different data structures.
    • Manipulating Pandas, Numpy & Series objects (Addition, Deletion, Subset, Filtering, Transform etc.)
    • Variable Scoping & Environments (Global & Local Environments)
    • Data Wrangling (Joins, Sorting, Searching etc.) & Manipulation of Data frames (Addition / Deletion of rows & columns, Filtering, Grouping, Summarizing etc.)
    • Visualization (Using matplotlib, seaborn, plotly etc.)
    • Automating data pipelines and knowledge of using JDBC and ODBC drivers
    • Basic unix/linux commands


  • Secondary Skills (Good to have)


    • Object Oriented Programming (Classes & Objects)
    • Python Packaging (. wheel files), PyPI, Versioning
    • Rest API using Flask, Django
    • Knowledge of using common machine learning methods using scikit-learn
    • Knowledge of PySpark, Pydoop etc. and processing of large data sets in Python
    • Knowledge of using TensorFlow, Keras, PyTorch
    • Connecting to ODBC Databases from Python with pyodbc
    • Experience of Angular or React frameworks



2-3 years of experience of working as a python programmer

  • Working knowledge of Python libraries (but not limited to) such as Pandas, NumPy, SciPy, Matplotlib, Scikit Learn, Statsmodels
  • Building data pipelines in Python
  • Manipulating large data sets using Python
  • Creating REST APIs using Python
  • Creating visualization using Python
  • Experience of production deployment
  • Experience of unit testing and integration testing