Good work-life balance sometimes. Scale of data. Challenging problems to solve in some teams.
Politics.
US teams generally do all the good work. The scale of the data is huge, but the infrastructure is horrible. It takes ages to run simple MR jobs.
There's a lack of a good platform.
No effort is made to retain good employees. They are interested in hiring new folks with lesser talent.
There is no guarantee that you will get your variable component, especially at higher levels.
Value talent.
I wasn't aware of this pathetic interview process. The interviewer was asking questions while being busy with his own work, as you could hear from the keyboard typing. I had to explain answers multiple times. The interviewer, who appeared to be a ju
1st round: iOS and Swift basics. - Good Experience 2nd round: EM with advanced concepts. - Worst Experience. The EM thinks he is all in all. He doesn't even know how to ask a question. I have given 50+ interviews in different companies, including U
The initial stage presented challenging scenarios with two medium-difficulty LeetCode questions, while the second round involved an interviewer displaying rudeness. They laughed in the middle of the interview and did not provide constructive feedback
I wasn't aware of this pathetic interview process. The interviewer was asking questions while being busy with his own work, as you could hear from the keyboard typing. I had to explain answers multiple times. The interviewer, who appeared to be a ju
1st round: iOS and Swift basics. - Good Experience 2nd round: EM with advanced concepts. - Worst Experience. The EM thinks he is all in all. He doesn't even know how to ask a question. I have given 50+ interviews in different companies, including U
The initial stage presented challenging scenarios with two medium-difficulty LeetCode questions, while the second round involved an interviewer displaying rudeness. They laughed in the middle of the interview and did not provide constructive feedback