Why I Prefer Data Engineering Roles

With all the hype around machine learning, why do I like data engineering gigs more?

There are two core paths on LogikBot. One for the data analyst role and one for the machine learning engineering role.

I've added the data analyst role recently because machine learning has become so difficult to break into. If you're new to IT, I'd highly recommend this path. You can be in a real-world data analsyt role in under a year if you really apply yourself. LogikBot is the most affordable and fastest way to attain this role. The platform even has an exam simulator for preparing for the exam.

For the data analyst role, you take two courses then prepare for and pass exam PL-300. This exam, PL-300, is the Microsoft Certified PowerBI Data Analyst Certification.

If you're in a shortcut role, then there's an entire path laid out for learning machine learning. The platform used by Uber and Microsoft. I worked at both companies. The courses are real-world and comprehensive. This is not the easy way. There is no easy way. This is one of the few platform that's offers a real-world approach to working in AI.

[ZeryusXD]

"Less meetings"
I hate meetings too. All that time in meetings could be better spent researching or improving on your projects. The only meeting that make sense is one with your supervisor/lead to provide updates on your progress on a project and any stumbling blocks you encounter

[e.c-machiavelli]

Hi Mike, I followed your advice and got a job as a Data Analyst. Since I am still a student, I think I should not rush for higher positions.

I plan to develop my SQL, Python and Cloud skills together with the company until I graduate, and after I graduate, I intend to focus on Data Engineering.

Thanks for everything 👍

[i_youtube_]

Very important notes from Mike. Thank you

[capyk]

Great video as always, Mike. I'm curious about your take for those us who are in NLP. I recently started working in a junior role for a TTS startup, in which I also help preparing training data for my engineer colleagues. I'm fluent in Python, which I use in automation for large text data collection and cleansing. I'd like to pursue a career as an NLP engineer, but I actually enjoy working with large data, and I wonder if my job prospects could be enlarged by getting more skills in DE, like advanced SQL and cloud tools. Have you seen people transitioning from NLP to DE? Thank you and keep up the awesome videos :)

[syedtayyab]

Hey Mike, great video as usual.

Just today I read that the US tech sector shed the most jobs since December'20. What's the situation on the ground and the thinking at the C level? Is this trend going to continue?

[Ali-bkhr]

Hi Mike I just got an entry level role as a data analyst and have skills in SQL, Python, Excel, and Powerbi. Do you recommend that I spend 1 year now learning data engineering after work as I want to make as much money as fast as possible and the role interests me. And how long does the transition from analysts take?

[unnamed]

i watched a few of your videos and I would really like to hear your opinion on that. I got two offers for Masters. On is on Machine Learning in Computer Vision and the other on Data Science. Having done my thesis on Reinforcement Learning using CNNs could be considered some experience on the field. I am interested in computer vision a lot. Would you recommend to focus on machine learning in computer vision as a good choice or going with the data science master would be a more solid choice for my career? Thank you!

[storiesshubham]

Just read the comments and the replies that you gave. Interesting facts!!

[Jerry-ucpn]

Fantastic. We need more data engineers and less data scientists. Coming from a data scientist trying to move to data engineering

[mikeserosi]

Hi Mike!

Thank you for sharing your broad experience with us.
When you talk about Data Engineer, does DE needs to know BI tools, like: Power BI or Tableau ?
Or it's more daily work based on knowing: Data Modeling, SQL, Python, SQOOP, Hive... ?

Thank you.

[MrCool]

Hypothetical Mike:
Can a data scientist who is skillful with data cleansing in SQL, programming in Python, and has some technical experience working in a cloud-computing platform (e.g. Azure) be able to become a ML Engineer in nearly 4 years of working? Or do you prefer that Data Scientist to become a Data Engineer first to become more technical in the data pipeline (with SQL and in IT) prior to ML engineering? Curious to hear your thoughts. I do agree though that data scientists are generally applied statisticians in the industry.

[kjp]

Would really appreciate if you give insider’s insight to faker scientists roles

[AkshaySharma-yoth]

Thank you so much for your incredibly clear explanation. I am someone who is interested in data engineering. I have a question in mind regarding this one learning approach. How about building some decent projects that involves building an entire data infrastructure like working with real-time data, extracting data from API's, web scraping and then cleansing and transforming the data and uploading it to a cloud database further modelling the data and visualizing them. Do you think this approach is good for learning to become a skilled data engineer? I wanted to know your view about this approach.

[LingaiahParitala]

I'm working as a Oracle dba with 10yrs of experience currently i want to transition my career into data engineer, later machine learning engineer. Is it good plan ?

[pedrohenriquemedeirosdeoli]

Hi Mike. How do you see the market for data engineers for the coming years?

[xoda]

In LB I don't see any courses on Hadoop, Spark, YARN etc. I was under the impression that these were top DE skills. So are these not the correct skills for DE role?

[nkristianschmidt]

ie Move to a company that understands, it's all IT.

[mikethenigerianmadecoder]

Pls is Google cloud engineering same as data engineering

[tomastruchly]

Guess I choose right to be CDE, because same as you hate useless meetings with management & customers :-D. And by doing Tech. Support I experienced a lot of them...
CDE is by my understanding DB expert with some DEV skills.

[davidhoward]

Do you think a data analyst degree is worth it for working towards a machine learning engineer?