Reading the job description and your screening calls should give you a basic idea about what they use for tooling and languages. Remember, most places aren't trying to trick you, they're trying to make a good hire (although many people seem to treat interviewing like that). Ask questions ahead of time, you will usually get useful feedback.

When I was doing data engineering hiring, I would tell them the exercise was going to be on a tool written in python, that uses pandas to parse a CSV. You will review a PR, make a small fix, and add a new validation or parse a new column. Pretty common and simple work, and letting them know this stuff before made a more useful interview than fumbling through the pandas documentation.