Not sure if this is the best place to put it, but don't know where else. I'm essentially on a 3 year commitment with my current firm with financial incentives above typical base/bonus. Leadership position running an internal division. Essentially a rung below the founders/partners. Responsible for delivery/client management across multiple clients. Everything from data engineering development, visualization (power BI/tableau) delivery, strategy engagements, selling new work etc. Like many, I'm self taught sql/python/data engineering with a Finance Degree. 10-15 years in the analytics space developing, delivering, leading a bunch of different shit. I feel like I'm to the point that if I ever wanted to leave & go back to industry, an MBA or an MSBA/Masters in Analytics would be helpful. I'd eventually like to push into the c-suite. Could also help me grow in my current role, IDK what that'll look like though. Anyone taken a stab at those coming from a technical side of the house? MBA's I'm looking at would have a concentration in analytics, don't want a generic degree. From reading online, MSBA/MA seem to be a big heavier on developing people for Data Scientist type roles vs leadership. But I'm torn b/c I want that detailed foundation. I've look at a few dual degree options but that shit is 4 years of school part-time & not sure I want to do that.. I make good money now and well above the "ROI post increase" or "Avg Salary after graduation" so I'm trying to weigh out the true benefits & how much it'll help. Almost like checking the box and dropping 40-60k as a hopeful investment down the line.
night classes and a young kid plus probably $100K for mba? Are you comfortable/happy or just trying to keep up with jones?
I’m making close to $200K (prob hitting the ceiling) as a senior data engineer/tech lead with no masters. I’m kinda just like throw me some projects and some solid engineers I trust and we’ll get the job done. Content but management path is tempting for future career paths.
Maybe? Seems like lots of VP+ jobs want advanced degress or "prefer" it Shouldn't be that much. Half of that. Not really trying to "keep up". I'm in a weird state like you. I see a path of moving up means retiring earlier vs staying static/content and working longer.
try looking for any syllabi of the masters in analytics classes that seem interesting to find out how in-depth they go etc. your company may have similar levels of training already covered with coursera and any online training/certification stuff. when i went back for my mba, i got more out of the leadership/org change classes than analytics stuff, for what it's worth. on the mba side they didn't go into super great detail at the time, and the masters in analytics classes were kept separate from it although i think it could've been possible to take classes from the MA side.
Yeah, most that have some concentration seem to have some decent depth into predictive type and optimization. Most are 3-4 class dedicated to it
Do managers who don't actually code just like to spout as many buzzwords and technical jargon as possible or is it everyone. Somedays I'm just like "ENGLISH MOTHERFUCKER, DO YOU SPEAK IT??" I'm going to start incorporating medical terms into these conversations just to mess with people. "Oh yeah we need to pass that API through the Arcade of Frohse" https://en.wikipedia.org/wiki/Arcade_of_Frohse#:~:text=The arcade of Frohse is,Frohse (1871-1916). "It'll work better if you run it on spinnbarkeit." https://en.wikipedia.org/wiki/Spinn...ity),,albumen and similar viscoelastic fluids.
My manager doesn't code beyond a little tiny bit of SQL. he went to East Carolina and is a bit of a redneck. if things get too complicated he says "I don't know about all this shit" points at me and says, "just do whatever that guy says" his job is to deal with all the assholes and my job is to build stuff that doesn't break
I try to be the shit umbrella for my team. I used to code in a previous life (probably a decade ago) and know enough around data to be of help around ballpark estimates, solution architecture, etc. but to me, that's what PMs or EMs should be striving for.
Stack Overflow is dead. Just ask ChatGPT to write any code for you To post the answer to Reddit, you would need to use the Reddit API. Here is an example of how you could do this:
Any suggestions for free software to take an api key and build a dashboard? Theoretically, I could do it in python, but it would be complicated and not very pretty.
What sort of data are you consuming for the dashboard? Do you need any level of transformation? Python + Seaborn is one option. I've used Metabase for a couple projects for my client and it's fairly intuitive + open source and is fairly easy to host / maintain.
JSON? I convert the json data to pandas and then do minor things to merge results to a preferred output
been dabbling with Retool to manage our ETL process metadata. Pretty cool, you essentially drag and drop to create a JavaScript app that can interact with our snowflake instance. We’re currently using CSVs and GitHub to manage our process metadata. This will make it much more user friendly for our tech ops team.
Airflow has a bit of a learning curve but is one of the better WYSIWYG tools for drag and drop ETL I've played with.
welp, got laid off last week. if anyone is looking for a senior data engineer, DM me and I'll send you my linked in and resume. also have two old coworkers at AWS that have a spot on their team that Im directly aligned with. already applied for the postition. wish me luck.
Have had multiple friends work at AWS and it pays well but not the best experience in terms of work-life balance given the prestige of the company. That being said they also worked more with helping clients build out solutions and not on the actual service teams. At any rate you should hopefully find a job pretty easily unless companies start slowing their hiring process until the new year. I'm a Senior Data Engineer myself and am seeing more recruiters starting to bug me on LinkedIn compared to 6-12 months ago.
An engineer must have taken up to differential equations and cried about exploded diagrams!!! You could do the same about Computer Science not being a real science because there's not hypothesis driven research really for undergraduate students, but that's not stopping colleges from naming it as a major.
Pretty sure my dad as a ceramic engineer then mechanical engineer never had to pass any licensing exam while he was employed over 30 years, so toss my salad bitch.
Also my brother is a railroad engineer too. I especially hate the gatekeeping around that title because the most smelly libertarian co-workers (as in MULTIPLE co-workers) wanted to gatekeep that title because they had either done computer engineering or EE. I truly mean both of them had BO issues at work too.
We've implemented a data lake at my company (work in the healthcare sector) with teams streaming us various data through Kinesis. I've spent the past week working on a fucking PoC in C# (most core apps in our company are .NET) to prevent data producers from just changing schemas of their registered data types willy nilly. I'm actually going to re:Invent next week and really hope I can get some guidance as there's schema registries in Glue but the libraries that enforce producers/consumers to adhere to a contract are only available for Java/Kafka.