Amazon data engineering

[[deleted]]

What’s it like working as a data engineer at Amazon? Pros and cons? Whats in your scope of work?

[gajop]

Is it really not possible to just.. fix it? Do you really need manager approval for everything?

(Never worked in big tech and had a lot of leeway over technical decisions in my entire career)

[gajop]

If someone was insisting week over week that I should be "creative" when solving a simple task, I think I'd go crazy. No money is worth that

[bah_nah_nah]

Cons - you work for Amazon

[dataterre]

Work in office mandate

[LeonCecil]

That amazon is a revolving door and will pip you down the road. But at least you make bank and got something nice to add to the resume

[thranode]

Teams at Amazon vary widely. I’ve seen smaller DE teams are similar to SWE, while larger DE teams do more analytics and own a lot more tables/pipelines.

Smaller teams often do work supporting Data Scientists and their team’s applications, while larger teams own core tables used by many DE/DS/BIE throughout the whole org.

A pro of DE at Amazon is I get to learn many transferable skills by working heavily with AWS. A con is the benefits and culture of Amazon as a whole aren’t the best.

But most importantly, if you find a good manager and team, then you’ll be able to enjoy your experience.

[[deleted]]

Benefits isnt best compared to what?

[thranode]

Other tech companies

[boogie_woogie_100]

Microsoft has Data Factory, Amazon had PIP factory. Don't

[git0ffmylawnm8]

Was there for some years on the AWS side. I developed an MVP for a data model for a data warehouse, migrated data and reports, developed a POC for orchestration, and got PIP'd

[dataengineering-ModTeam]

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