Data Engineer I applicants have rated the interview process at Meta with 3 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 58.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer I roles take an average of 60 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 37 days.
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I applied through a recruiter. The process took 3 weeks. I interviewed at Meta in Feb 2017
Interview
They seemed backed up with interviewee candidates; the first interview I could get was a couple weeks after we scheduled it. After the initial recruiter interview, there were a pair of online technical interviews, one which was SQL based and one which was in a programming language of your choice (I picked Python3). Neither were particularly hard although given my minimal python experience I should have drilled more on solving simple problems.
Interview questions [1]
Question 1
How to do certain types of SQL filtering in one pass rather than using two queries unioned together.
I applied through an employee referral. The process took 4 weeks. I interviewed at Meta in Jan 2017
Interview
I got the call via employee referral. HR contacted me through phone for initial screening. General interview like my background and interest. Then a few weeks later, SQL Coding and Python Coding rounds was conducted. Each coding round were of 45 minutes each back to back with 15 minutes break. The coding was conducted on coder pad. I was able complete the 5 SQL coding questions but could only complete 1 Python coding question. I found the python questions difficult.
Interview questions [1]
Question 1
SQL Coding:
5 questions
4 tables were given and questions were mostly on joins, aggregate functions, sub queries.
Python Coding: I guess there were total 5 questions but could reach only till second question.
Count the number of words in a sentence.
Count the frequency of words from the list and store the results in a hash map.
I applied through an employee referral. The process took 2 weeks. I interviewed at Meta (Menlo Park, CA) in Nov 2016
Interview
I interviewed with the Business Intelligence team. The process involved one phone interview (coding + SQL) followed by 4 rounds of interviews at onsite.
Phone interview was easy with medium level SQL and coding questions. The interviewer stressed a lot on running times for the coding questions. I had to offer three different solutions and implement the optimal version of the code.
At onsite, there was one SQL interview, followed by 2 coding interviews. After lunch, a manager conducted an ETL design and metrics interview.
The interviewer, who asked me the map-reduce question was doing some work on his laptop. He hardly paid any attention to the code I was writing on the wall. I had to try hard to get his attention to my code and explain how it works.
The best part of the interview was meeting Guy Bayes, the Data Engineering Director at Facebook. He is such a cool people manager. Instead of interviewing me in the interview room, he took me out for a walk along side the bay next to Facebook's office in MenloPark. He is so awesome.
Guy Bayes is one reason why you should consider joining Facebook.
All the best for your interviews.
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