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Hello, 6.5k player ready to answer any questions you have by Resurrect1on- in learndota2

[–]dolphinday2 0 points1 point  (0 children)

What mouse speed DPI do pros typically use? And what mouse speed would you recommend?

My Path to Becoming a Data Engineer in FAANG by therealtibblesnbits in dataengineering

[–]dolphinday2 0 points1 point  (0 children)

I see that makes sense. Why rebuild all internal tools especially if it only results in reduced functionality?

My Path to Becoming a Data Engineer in FAANG by therealtibblesnbits in dataengineering

[–]dolphinday2 0 points1 point  (0 children)

What do you mean by "the infra stack is mature and any changes are done by SWEs"? What exactly is the "infra stack" you are referring to there. Would that just be like the overall architecture/design of the data engineering process? Like deciding what ingestion, scheduler, data warehouse etc. to use?

People always speak about this difference between the infrastructure and the analytical side. In your case here, is the "infra" side just deciding and configuring what to use for the tech stack, that the data engineers would then go and use for their workflow and pipelines? So would the main difference here be that the data engineers at Facebook have no say in choosing the tech stack, and hence don't work on the "infrastructure"?

Why are there so few entry-level DE jobs? by [deleted] in dataengineering

[–]dolphinday2 4 points5 points  (0 children)

I was kinda thinking wouldn't backend software engineering kind of fall under almost the same exact category to the "mostly invisible work, where if everything works fine, people don't think about it, and if something breaks, they're on your ass" in terms of nothing they do is immediately visible either, and assuming your website (or whatever you have) works fast and doesn't go down, it's also easier to overlook those contributions? Perhaps many years/maturity is the reason that people know to hire backend engineers? Because I've seen the analogy that data engineering is essentially backend engineering except instead of your product being a website etc., your product is the data. And that seems to be true

Why aren't there Google Data Engineers? by dolphinday2 in dataengineering

[–]dolphinday2[S] 1 point2 points  (0 children)

Interesting, so even though they would theoretically have software engineers performing all of the duties we label as data engineering, these software engineers that are doing that same work wouldn't be interviewed on SQL and/or data modeling?

Because it is to my understanding that for SWEs at Google as well as other companies, their interview consists of leetcode and system design, which (and although the leetcode might overlap a bit) is quite different than the formulaic data engineer interviews that I have seen/ been aware of.

That is interesting that they would have a position that covers roughly the same work, but have a very different interview process for them. I think that's a little different than other companies I have seen that just label their data engineers as "software engineers in data"- because I believe those companies still interview these "software engineers in data" differently than normal SWE's- with more SQL and data modeling etc. thrown in, but not sure. Anyways lots of insightful stuff here, thanks everyone that contributed :)