The first round is a recruiter screen, which is a friendly conversation asking about your work experience. The second round is a technical assessment asking 5 SQL questions and 5 Python/DSA style questions. This was particularly hard because you have to answer all 10 in under an hour. I didn't answer all of them, and as a result, I didn't move on to any subsequent rounds.
While the time constraints were difficult, I don't think they are impossible. A lot of the questions asked are already here on Glassdoor. Had I practiced for a couple more weeks, I think I could have had a better chance to pass. Unfortunately, I only had a week between the recruiter screen and the technical round.
Recommendation:
Write a function to return a list with words that don't have a match (case sensitive) between two strings ("Facebook is an awesome place", "Facebook Is an AWESOME place") → ["is", "Is", "awesome", "AWESOME"].
The following metrics were computed from 3 interview experiences for the Meta Data Engineer role in Los Angeles, California.
Meta's interview process for their Data Engineer roles in Los Angeles, California is fairly selective, failing a large portion of engineers who go through it.
Candidates reported having very good feelings for Meta's Data Engineer interview process in Los Angeles, California.