"Data Scientist". It's the other way around, though; you could publish this video again by just replacing every mention of Data Engineer with DS. All the roles you explained here - save for maybe the DBA - I've seen described in one way or other in many of the job ads allegedly looking for a "Data Scientist", or later heard described during the interviews for some DS roles I applied for. More often than not it was multiple roles in one. Just like with Data Engineers. Huge overlap in the Venn Diagram, along with ML Engineer, especially if going by most job ads. "Full-Stack Data *".
@@physicalist_codes You are right, you can disguise any data engineer role under a data scientist one or ML engineer. It's a big problem in our industry. However I do believe that if you ask anyone what's the difference between a DS and a DE, the barrier is a bit clearer. The problem I wanted to highlight is that especially as DE has been exploding, the scope and definition has been pretty wide.
Aha yes. This is very large sometimes it's better to check what tasks they have in mind for the role. You'll probably overlap a few roles but you want to see they're not expecting something you don't want to do. Also try to find a role where you're on a team with other data professionals this should make it less likely you end up doing it all.
I'd agree with all the roles except I'd call a Data Analyst a Data Engineer 😄. Because an analyst to me does no terraform, coding etc. I also like the role DevOps Engineer, which I guess you call Data Plattform Engineer. But DevOps is more correct in my opinion, as these role can manage and setup any kind of apps, tools and framework, not only data stuff.
You mean you wouldn't ? I agree in theory, but in practice, a lot of data analyst called themself data engineer. Especially because they can potentially do a lot of data pipeline if no support by data engineer. Good call for the DevOps engineer! However managing data platform do require more data domain knowledge... again it depends :-) But I agree I've seen DevOps engineer managing more than just data platform.
Nice! 😂 hey can you create a video of the best learning/ courses you should take to become a good engineer? Or are you planning creating some “zero to hero” tutorials yourself? :)
What kind of data engineer did I miss? Let me know!
"Data Scientist".
It's the other way around, though; you could publish this video again by just replacing every mention of Data Engineer with DS.
All the roles you explained here - save for maybe the DBA - I've seen described in one way or other in many of the job ads allegedly looking for a "Data Scientist", or later heard described during the interviews for some DS roles I applied for. More often than not it was multiple roles in one. Just like with Data Engineers. Huge overlap in the Venn Diagram, along with ML Engineer, especially if going by most job ads. "Full-Stack Data *".
@@physicalist_codes You are right, you can disguise any data engineer role under a data scientist one or ML engineer. It's a big problem in our industry.
However I do believe that if you ask anyone what's the difference between a DS and a DE, the barrier is a bit clearer.
The problem I wanted to highlight is that especially as DE has been exploding, the scope and definition has been pretty wide.
The engineers who find the data apis from websites and pulls the data out from network activities. What do I call myself for that?
Data Engineer = BI analyst + DBA + data architect + cloud engineer + backend software engineer + project manager + CIO.
It's indeed a whole data department!
LOLOLOLOL this was hilarious and informative! Subbed
Love it! Thank you for the explanation :)
Aha yes. This is very large sometimes it's better to check what tasks they have in mind for the role. You'll probably overlap a few roles but you want to see they're not expecting something you don't want to do.
Also try to find a role where you're on a team with other data professionals this should make it less likely you end up doing it all.
"At least they all use SQL" 🤣 funny intro and nice video in general.
Haha the 3 mehdio's! That's hilarious!!
Glad it made you smile :-)
Nice explanation !
I'd agree with all the roles except I'd call a Data Analyst a Data Engineer 😄. Because an analyst to me does no terraform, coding etc. I also like the role DevOps Engineer, which I guess you call Data Plattform Engineer. But DevOps is more correct in my opinion, as these role can manage and setup any kind of apps, tools and framework, not only data stuff.
You mean you wouldn't ? I agree in theory, but in practice, a lot of data analyst called themself data engineer. Especially because they can potentially do a lot of data pipeline if no support by data engineer.
Good call for the DevOps engineer! However managing data platform do require more data domain knowledge... again it depends :-) But I agree I've seen DevOps engineer managing more than just data platform.
Nice! 😂 hey can you create a video of the best learning/ courses you should take to become a good engineer? Or are you planning creating some “zero to hero” tutorials yourself? :)
Yes, I'm actually working on this :-)
@@mehdio awesome
Excellent.
Nowadays we need to be a Full Stack Data Engineer 🥲
Amazing!
Data engineer aka life saver @ work if that's not too cocky.
Edit: the video is great
"however they should🤣🤣"- of course, why did you learn the language if you don't wanna use it right !! go back to Excel
I laughed out hard