Data Engineering to Data Science - Personal Experience | Moving to AI in 2023

I recently switched my team from Data to AI at Google and here I am sharing my first-hand experience so that you know
1) What's the difference between DE and DS?
2) Should you move?
3) How to move if you want to?

There is also a sneak peek of Google London office!

#dataengineering #datascience #google #artificialintelligence #ai

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0:00 Context
1:09 Data Engineer vs Data Scientist
5:12 Why move from Data Engineering to Data Science?
6:54 How to move from Data Engineering to Data Science?
9:52 Google London office and Updates

[JashRadia]

Finally uploading after a long time. Hope it was useful! ❤Drop your thoughts or questions here in the comments :)

[abhijeetnayak]

Hi Jash I have been following you from 4-5 months and your insites helped me to crack a Data Engineering Role just a Few days back, and am back watching this video on how to move into AI already 🤣🤣. Thanks for making these contents for us.

[artofheart]

Very Good Information Jash.. Great Going ❤

[joshh]

Thank you for making a video on this topic! I just graduated with a CS degree and finished a year internship as a data engineer and so I am about to pick my path, i have interests in Data Engineering/Science, and AI... in the coming years if you had to pick one route to start taking what would you choose? Ultimately I agree with what you said that AI will be the most future proof but that is not entry level... so I guess my question is what role would eventually transition into and AI/ML engineer down the line? Thank you so much for your insight Jash, I love seeing your LinkedIn posts!

[rolinejohnaguilar]

Thanks, this is really inspiring. DE skills is very handy in AI.

[curousss]

Loved the vid Jash, a bit of doubt - So would eventually down the line as you progress you would have to transition from DE to DS, because of experience not being of much value down the line for DE roles where companies can get the same work done by freshers for cheaper OR am i assuming wrong? are there senior roles for DE down the line as well?

[VivekDesai]

Wonderful video and content as usual, top-notch. I missed your videos; your content quality is unlike anywhere I've seen. I myself graduated from Nirma in 2016 and then decided to start a business. Since it is now automated, I am seriously considering getting a job in the Data space, starting with DE. (or say deperate for DE job)

I am in the midst of brushing up on and building the required skills. I am using the roadmap provided by you; it's just wonderful.

My question for you would be: should I first take an internship or directly go for a job? Any advice?

[edward-praveen]

Hi brother, thank you for this amazing video. I work as a data scientist now, I am thinking to switch from data science to data engg. I started to work in a data engg project, where I involved in migrating data from one place to another after transforming data. I loved the tools involved, excited when I debugged and solved issues. Am I thinking wrong? Should I stick with data science itself?

[sandormenyhart]

Thank you so much Jash! The content you have created again is amazing!
I have a question and I would be very grateful for your input on my question. I have Msc degree and 6 years of experience in building information management industry where I am working to date as well. I feel very enthusiastic about learning Data Engineering. What would be more efficient to get a Data Engineer job in construction / property development / facility management industries in your opinion?
1 To continue with a general CS degree + getting certified in Data Engineering or would you recommend
2 To continue with bootcamps based on your Data Engineering roadmap + getting certified in Data Engineering

[calvinpradian]

Hi Jash, love your videos! Can you shed some more light on the differences between ML Engineer and a Data Scientist positions at Google and other companies? Thanks!

[pank-]

For each of the skills you highlighted, please also mention best resources to learn them for someone who has never worked practically on them. Even though there is endless content and videos available on internet, it is always confusing which one to invest time in so that one feels confident of the skill and is able to apply them practically. The biggest problem is we all know we need to learn these but no one gives a chance to work unless we have hands on experience.And honestly theoretical learning doesn't make one confident of the skills. I hope you understand my question sir.

[karthik]

Hey Jash! Inspiring video. I am stuck in a data engineering role (just started). I have a stromg background in math and stats. I want to get into data science. Do you think DE to DS is a good path? Or should I look to switch immediately?

[uttarshah]

which course for data engineering is best?

[sarthakverma]

Congratulations Jash,
I am Data Engineer with 3 YOE.
I want to make similar kind of transition. I am planning to do executive mtech in AI. Will that be a good idea?

[pank-]

Can you suggest if there are openings in Google for data engineers who have worked mostly on ETL tools such as Informatica power center, Informatica cloud?Also having good SQL skills. If so, where to view job opening and how to apply?

[eshankasliwal]

Hello Jash,
To remain within the top 1%ile of data engineers in terms of staying current with AI advancements, what technologies should a data engineer focus on learning?

[vysaivicky]

Can you please post correct skills for data engineering?

[shivangigupta]

how to prepare for this data engineer transition to data scientist, could you help with any courses to start with AI / ML ?

[rahulsanap]

Hi Jash,

I wanted to know whether Google will have openings on cloud data engineer or big data consultant roles in future ?

As Google is posting lot of Cloud AI engineer roles

[knighthacker]

If you are freshers now, what do you choose? Data Engineer or Data science? and what field is easy to get into? and what makes me stand out from the crowd