The data engineering learning path is designed to help you review and practice interview questions that cover a broad range of data engineering skills.

We recommend you walk through all of the interview questions within the different topics in order to benchmark your skills. Feel free to skip over the courses you’re already familiar with in order to focus on more difficult topics.

Once you’ve completed the learning path, you can use the Interview Question Bank to practice the topics you found the hardest.

This learning path covers three core topics: SQL, Python, and Database Design.

The SQL module will help you practice the SQL skills you need to ace data engineering interview questions. It assumes you have prior experience writing SQL. In case you’re new to SQL, the SQL learning path is a good place to start for an introduction to the topic.

The Python module reviews common elements found in different algorithms and data structures interview questions, as well as data pre-processing in order to cover some of the data cleaning tasks for data transformation.

Finally, the Database System Design course goes teaches the general framework for acing database design questions, from specifying requirements to considering edge cases.

The data engineering interview is hard, but don’t be intimidated! With the right preparation and dedication, you’ll land your dream job. You got this!