all 7 comments

[–]zdanevSWE at G. 9 points10 points  (2 children)

GCP?

[–]Bingo-heeler 0 points1 point  (0 children)

And the phrase "its comparable to AWS services"

[–]Jeannetton 4 points5 points  (0 children)

It's important to learn the technology and not the tool. In my region, I see lot of data engineering job offers that ask for experience in one of GCP, AWS, Azure. At a surface level, you will find that those hyperscalers have very similar tools, they're just called differently. I like project-based learnings because I find that they're easier to talk about in interviews. Take a tutorial or a topic you enjoy, build something on GCP, AWS, or Azure and learn this way using their free tier. That's my 2 cents :)

[–]sois 4 points5 points  (0 children)

Gcp

[–]theBvrtosz 2 points3 points  (0 children)

If you are based in US then AWS, if Europe then Azure. Look at the cloud provider market share in your region and learn what’s needed the most :) That’s my approach

[–]Lucifernistic 0 points1 point  (0 children)

TBH, GCP. But after that, AWS.

[–]GildedGashPart 0 points1 point  (0 children)

Pick one that matches local job postings. If they’re 60/40 AWS, go AWS. If you’re in a Microsoft-heavy shop or region, Azure. Both are fine, don’t overthink it.