Is Data Engineering less stressful compared to software engineering

Please answer??? In terms of pay, future scope etc

Hi All, I have 6 YOE. Initial 2.5 years I worked as Backend developer in Python, Django, AWS and Little bit JS. After that all of my experience is in Data Engineering mostly in GCP (have few certifications as well.) Currently I am working at Walmart. Most of the work I do in Data side is adhoc and projects are also not upto the expectations lot of manual work is also there. I am not really enjoying my career as data engineer. Pay is good. I am thinking to move back to Software Engineering, 1. is it a good idea for long term? 2. What skill should I focus on if I have to move back? 3. Is it just the projects that I am working on making data engineer look less interesting to work ?

I recently got placed in a good product based company and was assigned in Data Engineering team 1-2 weeks ago as an intern. I always wanted to be a Software Development Engineer and I really like to develop applications, websites etc and I also really enjoy it. I even purchased an expensive system design book to learn and implement how they build scalable apps etc because I find it very interesting. I never persued the data domain because I don't like stats and all the maths. Avoided AI/ML in college. Sure, I can work and learn about it in my free time, but I don't prefer it as a job right now. I couldn't develop my interest in data engineering after researching about it online for hours. Yes, the stack is cool and different, they build pipelines and all but it looks boring to me. I also read few comments saying that freshers are rarely hired for this role and one should work as an sde for few years before switching to this domain, and also they are paid ≤ SDEs depending on the company. What should I do now? Please guide me seniors🙏 Am I stuck in this forever or can I switch to SDE anytime I want? I am open to trying this role but then I am also scared that it'd may be too late or too hard to switch to SDE by then..? P.s. This is my first job, never worked in a company before so I don't know how things work.

Hi, to give a little background, I started working as a data scientist in a quite well paying startup straight out of college. (CS grad from a tier-2 engineering college, NIT/IIIT) But due to having more interest in software engineering, I picked up mostly engineering work (I've mostly worked using Java, springboot, python, flask, fastAPI etc). But now after 1.5 years of experience i want to switch to swe roles, my query is, will my current role i.e. 'data scientist' be a road blocker, even if I've many engineering works to mention in my resume? And is there a way to resolve this, without switching roles internally, as the team said it takes 6-12 months to do this due to company policy, and i really don't wanna be stuck here for that amount of time anymore.

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 am a 2023 cse grad ,i have 2 offers ,which one should I join 1) tredence analytics, associate data scientist CTC:12l Base :7.44,var:56k, joining bonus given after 1year :2l, performance bonus:2l given after 1.5years 2)Tejas networks:R&D sde CTC:10l Base:9.7l ,var:30k I am open to both development and data roles, whichever offers more growth and opportunities in future as both the the packages are similar with minute differences