Python Data Engineer

Role: Lead Software Engineer

Description:

• Core Python: Should be proficient in the basic concepts and features of the Python language, such as data types, variables, operators, control structures, functions, classes, modules, exceptions, file handling, etc. You should also be familiar with the built-in data structures and methods, such as lists, tuples, dictionaries, sets, strings, etc.
• Web Frameworks: Should have a sound knowledge of one or more web frameworks that are based on Python, such as Django, Flask, Pyramid, etc. These frameworks provide tools and libraries to help you create web applications using Python. You should know how to use the framework's features, such as routing, templating, database integration, authentication, testing, etc.
• Object Relational Mappers (ORMs): Should be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provide a high-level interface to manipulate data. Some popular ORMs for Python are SQLAlchemy, Django ORM, Peewee, etc. You should know how to define models, perform CRUD operations, query data, handle transactions, etc.
• Data Science and Machine Learning: Should have some skills in data science and machine learning, as these are some of the most common use cases for Python. You should be able to use libraries and frameworks such as NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, etc. to perform data analysis, manipulation, visualization, and modeling. You should also have a good understanding of the basic concepts and algorithms of statistics, machine learning, and deep learning.
• Other Skills: Should also have some general skills that are useful for any developer, such as debugging and testing, version control, and communication and teamwork.