Culture -- top-to-bottom, people are collaborative and results-oriented.
Innovative -- the company's vision of being the best data-and-AI platform and The Lakehouse requires continuous innovation.
Leadership are future-focused and execute in a measured yet ambitious manner with enough urgency to keep raising the bar while simultaneously sustaining high morale.
Learning -- as a technologist, I am always learning. The platform has many aspects and is continuously evolving, so learning opportunities arise regularly.
Rewarding -- Helping clients is rewarding and feels like a genuine win-win as clients increase their platform usage. Compensation and non-monetary rewards are nice too.
C-suite -- it maintains its scrappy ambitiousness that helps fuel a great startup culture. Meanwhile, they are true professionals and are fact-driven, leveraging data to guide decisions and adjust strategy.
Too many enticing things to learn or explore on the platform.
Keep it up!
Extremely unprofessional interviewer who worked on his own stuff the entire interview and deliberately didn't reveal the second part of the question. Attitude is bad and impatient. If you don't want to interview, just don't accept the interview. I'd
The first part was the Technical Screen without OA. It was a standard graph problem, maybe like a Leetcode Medium. It was an hour total, and I had about 10 minutes at the end to ask my interviewers some questions.
Data structure heavy questions (not the typical LeetCode) – you need to implement a class to perform certain operations. I was also asked some behavioral questions at the beginning, but I don't know whether this is standard.
Extremely unprofessional interviewer who worked on his own stuff the entire interview and deliberately didn't reveal the second part of the question. Attitude is bad and impatient. If you don't want to interview, just don't accept the interview. I'd
The first part was the Technical Screen without OA. It was a standard graph problem, maybe like a Leetcode Medium. It was an hour total, and I had about 10 minutes at the end to ask my interviewers some questions.
Data structure heavy questions (not the typical LeetCode) – you need to implement a class to perform certain operations. I was also asked some behavioral questions at the beginning, but I don't know whether this is standard.