Applied through a staffing agency.
Two rounds:
Phone Call Was supposed to be for 20 minutes, but the interviewer didn't seem to care about the interviewee's time, so it went on for almost 70 minutes. Questions were based on deep technical knowledge, with almost 20 questions on the HR side.
Face-to-Face Interview Worst experience. They had no plans to accommodate parking or receiving the candidate. Lost almost an hour. Two technical rounds with four engineers. The engineers there had great enthusiasm but didn't seem to want to listen to answers, as they had their own calendar appointments. One of them repeatedly asked me to write a program to store strings in an array. Since the solution was pretty fast, he started digging too deeply into the basics of JVM and computer architecture. There were two or three technical questions to answer, but they didn't seem to matter. I got a vibe that they were not interested in interviewing, so it wrapped up soon and I left.
Result Made me wait for 21 days before they said they put the position on indefinite hold. Six weeks later, they wanted to interview me again, since one of the team members was off on vacation (Labor Day weekend). One week before the scheduled interview, the staffing firm conveyed that the position was filled internally.
What is REST?
How did you use it at your current workplace?
Design a program to take a string and store each character into an array. The array should return a count of each character when called.
[The interviewer was clearly trying to blur the lines between a simple program and a MapReduce]
Why LinkedIn?
The following metrics were computed from 1 interview experience for the LinkedIn Big Data Engineer role in Mountain View, California.
LinkedIn's interview process for their Big Data Engineer roles in Mountain View, California is extremely selective, failing the vast majority of engineers.
Candidates reported having very negative feelings for LinkedIn's Big Data Engineer interview process in Mountain View, California.