J'ai postulé en ligne. Le processus a pris 6 semaines. J'ai passé un entretien chez Meta (Menlo Park, CA) en avr. 2018
Entretien
Phone Interview : As mentioned by many, nothing much different
Onsite Interview : Included 3 white boards + 1 behavioral
Many people have commented that onsite interview for FB DE has Product sense, SQL , and Python. However, for me, the focus was majorly on Data Structures and Algorithms, and then Product Sense.
All the 3 areas that are focus of the interview, all has equal probability to be asked in-depth. So , don't ignore DS Algorithms. There are few hypothetical questions, but those are for the end, if one complete the DS Algorithms questions first.
I was not asked any SQL questions.
Questions d'entretien [1]
Question 1
Object Oriented Design for a data set, Data Structures : Questions on Trees.
No Questions on Product Sense, Data Modeling or SQL
Starts with a screen, followed by leetcode style SQL+Python questions, Full loop of SQL, Python, SQL plus Python and lastly behavioural round. Every round is also an architecture round in some sense.
Begins with an application review and recruiter screening, followed by a technical phone interview that assesses SQL, data modeling, data warehousing, ETL processes, and coding skills in languages such as Python or Java. Successful candidates then proceed to onsite or virtual interviews, which include multiple rounds covering coding, system design, data architecture, problem solving, and behavioral questions.
Questions d'entretien [1]
Question 1
Tell us about yourself and why you want to work for us
J'ai postulé en ligne. J'ai passé un entretien chez Meta (New York, NY)
Entretien
Prepare technical concepts, and practice previously asked questions as much as you can find online. 4 rounds in the total process. It's easy as long as you just practice a LOT.