Python Data Engineer

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 P, Flask, FAST API, 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: Should be able to use tools and techniques to find and fix errors in your code, such as logging, breakpoints, unit testing, integration testing, etc

Version control: Should be able to use version control systems, such as Git, to manage your code and collaborate with other developers.

You should know how to create branches, commit changes, merge conflicts, push and pull requests, etc

Communication and teamwork: Should be able to communicate effectively with your clients, stakeholders, and colleagues, and work well in a team.

You should be able to write clear and concise documentation, follow coding standards and best practices, give and receive feedback, etc