Anyone here for Data Engineering or Machine Learning??

Question

Looking to Network

Answer 1

Well honestly, from my experience, you should do exactly that. Take a role as data engineer and work your way onto the good side of the team lead (data scientist) and make good with them. If the company gives enough control over to that team lead (which they often do), you should have no problem with asking the data engineering team lead to work on some ML stuff after completing the data engineering workloads. I have a few team members who have done this and have been well payed doing only DE (data engineering) until they could build enough confidence and helpful ML stuff to fluff the experience section of their CVs that they were eventually able to move to other companies specifically focused in a more ML/AI role.

Answer 2

Disclaimer: I work as an SRE (site reliability engineer) so I often work closely with the data engineering team, though I’m not a data engineer myself.

Answer 3

This information helps for sure. You know how vast the industry is, and how easy it is to get lost on what path to take.

How are you liking the SRE role and how long have you been in that position?

Answer 4

Yeah for sure. It’s quite easy to steer the wrong direction from your original goal within IT.

I’ve been an SRE for just over a year. It’s been one hell of a learning experience as we’re basically just digital firemen. But I wouldn’t go back to normal development unless the pay was outragously unbeatable. Finding ways to automate workflows for dev teams, fixing issues with servers, blamelessly blaming devs for releasing on a Friday… all of these things are a blast lol.

Answer 5

"Blamelessly blaming the devs" 😂😂

So do you think what's being taught on SoloLearn is good content? Based on the skills needed in the job market?

Answer 6

That’s a solid question. Honestly speaking I think it covers some good foundational knowledge but as far as being job market ready, it leaves a lot to be desired. There’s a good amount of content that isn’t exactly up-to-date but that isn’t to say you can’t grasp a good amount of knowledge pertaining to the bird’s eye view of the topics. Unfortunately though, I’d recommend pairing sololearn with a course or three from another platform like udemy or coursera, something taught by a professional in the field already. I’d search udemy for a company called Sundog. It’s run by a guy who worked on algorithms for like Netflix and such and he covers both bird’s eye of the whole Hadoop ecosystem as well as Spark and other MapReduce topics more in detail (along with having you set those environments up yourself so you get some hands on training too). Best investment thus far.

But back to sololearn, for foundational stuff like for example with python to learn it well enough to write your own Spark jobs, it’s a win.

Answer 7

So basically, utilize two or three resources. Sololearn plus Udemy is a good pairing from my experience. Other coworkers have done the same and we also have both udemy and coursera as company designated for knowledge transfer on some topics so that should speak for itself.

Answer 8

I was thinking the same. Sometimes we just need that confirmation. Lol

I started the 100 days of python course yesterday. I heard good things about Angela Yu, the professor of the course.

Answer 9

I Didn't understand what you want to say sir but I will tell you all here are coders.
So in coding you have any doubt so you can ask with our community or moderators
Thanks ANURAG ☺️☺️☺️
Dimagio Burnside

Answer 10

Touching up on some python for Spark jobs. You?

Answer 11

I'm currently a computer science student with a high I interest in Data Science. My end goal is to become a Machine Learning Engineer, but would like to start out as a Data Engineer since there's more opportunities. Then transition into Machine Learning.

What type of job would that be?

Answer 12

Oh for sure. I haven’t had the honor of taking her courses myself but definitely heard some good things!