I have an upcoming onsite in Menlo Park and I've been studying very hard on the following: - data modeling - sql (mainly for ETL and reporting, window functions, joins, subqueries, CTEs, temp tables) - python (data dictionaries, lists, strings, sets, tuples) mainly for ETL - product sense (engagement metrics, i have not found a lot of metrics here) Is there anything else you can recommend? Have you had an onsite , what kind of full stack problems did they ask? Thanks
Not sure if it’s really helpful for you, but I found one post on Rooftop Slushie. Good luck! https://www.rooftopslushie.com/request/Facebook-Data-Engineer-On-site-284
Thanks, second answer is definitely helpful.
What’s full stack really? Like you can tune the database, and design beautiful ui all in the same morning?
:) good question, my understanding is that from a Data Engineering perspective it covers data visualization (dashboards), etl (sql/python), data warehousing (modeling) but that's why I am asking, how is all of that asked.