Data engineering or data science

I would like to know from real world data scientists if they think, data science is better than Data engineering. I am a data engineer with 2.6 YOE. I want to grow. But should i focus more on data engineering or should i focus on data science for my career growth. I need some valuable suggestions.

Hey guys, I am a DS with 3YOE and have offers for DS and MLOps roles, DS role is in Blore (greater pay but greater cost of living) MLOps role is remote (lesser pay but little to no cost of living as I stay with my parents) I have seen a lot of shift towards ML engineer or MLOps field now, so wondering, should I switch to MLOps?

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.

I have 2.5 years of experience on CCM technologies(primarily OpenText Exstream) but am not satisfied with it as it's not open source, I am not able to learn it from anywhere on the internet in free hours or while on bench and the project work is the same repetitive type of work. So thinking of switching in the DevOps or Data analytics domain. But not able to fix which one to choose. Please guide me which has good career growth in future and how to proceed. Any advice is welcome Thank you in advance ☺️

Both pro-cons i'm seeing currently is: Data science: ~ future technology ~ more interesting & diverse work Downside: so much competition as every college now opening new AI ML dept & Because of low entry criteria anyone can jump to this field little interest or few online courses Data Engineer: ~ Entry point is bit tough as Specific technology knowledge req which is generally not being taught in colleges, Hence less competition Downside: Identical & boring tasks mostly Which seems to win in near future in terms of pay or job security? Any suggestions as welcome!

Which is a better field, data analyst or data engineer in terms of growth and salary.

Hello guys. I am really confused with both of these topics about which one to choose , I am changing my career domine , currently working as automation engineer, having a thought to shift data scientist role but due to Chat gpt and other AI tools I feel data science role might not available for future . Need your help , which field I should choose for secure future.

Is data engineer a good carrier to opt for considering the salary, growth and future prospects?