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For FAANG and other companies with large data: Yes. For solving actual scaling issues, it makes sense for any candidate to understand this stuff.

Bottlenecks matter. And the better you are at algorithms means the less rework that needs to happen.

If on the other hand you're doing day to day business logic, no, it does not make sense. 80% of all jobs are like this.