Data Engineer applicants have rated the interview process at Meta with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 74.2% positive. This is according to Glassdoor user ratings.
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Recruiter reached out. Setup a 1 hr screening interview.
This was my 2nd attempt at this position. Although, I could solve all the 4 SQL and 4 Python questions (passed all the test cases) with little help from the interviewer except the last one where the interviewer had to give me the idea to solve it, got an email the next day saying I didn't make it to the next round.
As they don't give feedback after the interview, it is very difficult to judge what went wrong. My understanding is, even though you have the option to run the code and see the output, don't do it until you are 100% sure that your code will pass all the test cases. Although the interviewer said that you can run queries and see data, every run you make is counted against you.
I would suggest don't put your heart and soul into preparing for the interview. It's ultimately a human interacting with another human. Even if you perform well in the interview, a lot of other factors can affect your candidacy.
Interview questions [1]
Question 1
SQL Data schema was provided. SQL to be written that used left joins, nulls in filter, count func., case stmt.
Python
create a histogram from a given list
flatten a list: [1,2,[3,4. [5],[6,7,[8,[9]]]]]
remove duplicates from a list
count words in a sentence
I applied through a recruiter. The process took 3 weeks. I interviewed at Meta (New York, NY)
Interview
Did a phone interview (5 SQL / 5 Python). Questions are same as in Glassdoor but edge cases are difficult to pass. Need to have good strategy in allocating time. The interviewer and recruiter are extremely helpful and nice.
Interview questions [1]
Question 1
Python (1) Count "char" in the string. (2) Replace "None" in an array. Codes are simple but passing edge cases are difficult. SQL several % calculation questions
I applied online. The process took 2 weeks. I interviewed at Meta (San Francisco, CA) in May 2020
Interview
I did first phone screen interview, half an hour for python coding and half an hour for sql. The python coding questions was fairly easy, just make sure to review python built in data structures and their method. However the sql questions was not that easy. The schema kept changing for each question and it was hard to do the queries in such a short time, 5 min for each question. I did not get selected for the next round
Interview questions [2]
Question 1
python data structures such as sets, dictionary, list, string, etc