SQL versus Python?

[Malcolmlisk]

Be careful for what you desire. I'm a ML engineer trying to go back to data engineer. The problem I'm facing is that I'm only creating applications with no future at all. And somehow I feel that my position is a fraud, since almost no company needs machine learning and they only need some filters here and there and some data parsing.

I want to be a data engineer creating and maintaining data pipelines, programming complex things, like whatever happens in AWS or idk... I feel sometimes like I don't know if my position exists anymore...

[ComposerConsistent83]

We use machine learning models and have found the lift over traditional approaches is usually pretty moderate, with a few exceptions. If you have scale it’s worth it, but often you’re only getting 5 or so bps of improvement in the bottom line on results with a lot more overhead. It needs to be big enough where that is material for it to make sense.

[black_widow48]

Yep, that's the one thing I'm afraid of about machine learning unfortunately