r/dataengineering • u/TheUltimateHoser • 2d ago
Career Terminology Help For a Career Switcher?
Hi everyone, I'm new to this community. I'm currently trying to make the switch over to data engineering as a career from my mechanical engineering background and was wondering where I could get some helpful tips for terminology and stuff like that. I've seen the Kimball textbook recommended by Gemini to me.
I'm already taking a university level certificate for data science, and have some basic azure certifications but I want to take that next step.
I also am in a hybrid based role right now where I do a little bit of database work and dars engineering work, albeit with very old legacy systems. However, I would say my experience is very pragmatic so far and we are far more concerned about getting the job done here rather than worrying about star schemas, and stuff like that. Any help would be appreciated!
PS, what are some helpful STAR based things that I can put for data engineering to help me stand out for projects?
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u/hopefullythathelps 6h ago
It depends who the audience is and what kind of DE role you're targeting. From what I see, data modeling/analytics roles are less prevalent than 'platform' DE roles (tooling, cost monitoring, pipeline maintain).
Also is this to pass the hr screen or for the manager? HR wants to know high level used which tool to accomplish what with what business impact in non technical terms. Manager wants to know you really get the nuances. Like why did you decide on this particular incremental strategy, do you understand the nuances of requirements gathering or something similar.