SwirlyPretzel

[Take] If you are in Data, you might make a lot of money in the next 10 years...

India represents an untapped potential for greater Internet penetration+advancements in Speed compared to other advanced economies.

This should ideally unlock greater data generation per capita. This will ideally allow us to map geo-specific patterns across e-commerce/social-networks/OTT/Finance/Healthcare/EdTech etc.

Data as a moat may just be real. Think of how you can switch to: (in this order of preference)

Data Engineering > ML/AI/Data Science > Analytics

Having YOE under your belt when the wave picks up will take you further than anyone else.

Image Source: From r/dataisbeautiful on Reddit.

10mo ago

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SquishyCupcake

Amazon10mo

as someone who had actively used the dial up connection back in the days ... i never thought I'll see this graph so early in my lifetime.

SqueakyCupcake

Stealth10mo

for sooo many days I waited to use this gif

TwirlyJellybean

Stealth10mo

I definitely believe there is more opportunity in data engineering compared to data science. But just the speed or amount of data may not be a good indicator of growth.

FluffyUnicorn

Stealth10mo

What is the diff between Engg and Science? Does one get started with Data Engg, considering so far I only have 5YOE

DerpyCoconut

Student10mo

A simple difference is that data engineering is a sde job but in the data team handling pipelines and all.

Whereas in data science it's a combo of stat, logical reasoning and algorithms with coding

SquishyPenguin

Walmart10mo

I completely agree. There is so much potential for data to tap into with many patterns to uncover, huge semi/unstructured data.
But with the development of AI, we will need to see if it uncovers those patterns or us lol.

FloatingWaffle

Flipkart10mo

So I will tell you another truth which I also discovered after joining product firm.

Data Engineering is a step down from both software engineering and Data science in terms of skills required. Am not belittling the importance and value creation of the job but it's how u r perceived.

From what I have seen, data engineers are treated only a little better than PMs that's all. Choose to be an SDE if you like data engineering I would say.

Data science has other problems. They are skilled no doubt but are just white elephants mostly. Choose wisely. DE is not as shiny as u r making it to be

BubblyJellybean

Stealth1mo

Op is an SDE, you're a DE, so according to your logic
Nobody asked for you opinion

SqueakySushi

Stealth10mo

Excited for ML

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