Good Comp, good place to upskill on AI
Good Comp, good place to upskill on AI
Compensation is still very good, especially with refreshers. AI tooling and impact are pretty fast and loose (Claude / Openclaw), so it is a great place to learn how to use these tools in a production environment, with unlimited tokens.
There is a huge push for AI even when it doesn't make sense. There is always a threat of layoffs and stack ranking. A lot of great engineers have left recently.
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Data Engineer
I received a call from the recruiter soon after I was referred by an FB employee. The recruiter asked basic questions about myself and later explained the interview process at FB. As others have mentioned in reviews, the recruiter did not ask any tec
Data Engineer
Telephonic Interview: 30 minutes for SQL and 30 minutes for coding. Expectation: 4/5 correct answers in SQL and 3/5 correct answers in coding. Most of the folks have already explained this process in detail, so I will jump on the interview question
Data Engineer
Reached out on LinkedIn by a recruiter. After the initial call, this was followed by a technical screen by a Data Engineer that lasted for 45-50 minutes. Questions revolved around querying using SQL and the use of Python data structures.
Data Engineer
IndiaOctober 1, 2021I received a call from the recruiter soon after I was referred by an FB employee. The recruiter asked basic questions about myself and later explained the interview process at FB. As others have mentioned in reviews, the recruiter did not ask any tec
Data Engineer
United StatesMay 22, 2020Telephonic Interview: 30 minutes for SQL and 30 minutes for coding. Expectation: 4/5 correct answers in SQL and 3/5 correct answers in coding. Most of the folks have already explained this process in detail, so I will jump on the interview question
Data Engineer
United StatesMarch 1, 2024Reached out on LinkedIn by a recruiter. After the initial call, this was followed by a technical screen by a Data Engineer that lasted for 45-50 minutes. Questions revolved around querying using SQL and the use of Python data structures.
