HN user
Ruining careers? Not always. Mona Ramamurthy, former head of Theranos HR and Sunny Balwani's right hand woman, was one of the most egregious offenders and later got a job as senior HR at google. Google was probably most impressed by her treatment of the H1Bs at Theranos, since they have the same needs.
It's still highly restricted for many teams working with customer data
The “canfulfill” API for skills is available. Alexa scientists are constantly working on improving the arbitration experience but it’s a very difficult problem, especially due to security concerns.
https://developer.amazon.com/docs/custom-skills/implement-ca...
He's right about how data pipeline work is regarded by most ML scientists. It often ends up being extremely hard work and is regarded by others as useless grunt work. There is no big reward, constant overtime due to unexpected issues and lots of stress.
Software engineers are given the SDE title at Amazon but I just used SWE as the more general "software engineer" acronym.
"data engineer" is often considered a lower prestige title than data scientist. "Data scientist" is a title recently thrown around a lot for positions that used to be called "data analyst", with no strong ML or SWE ability required. Amazon's title for scientists with strong ML engineering ability is called "Applied Scientist" and it's paid significantly higher than SWE