Hey everyone! I'm a Computer Science student currently figuring out my career path. I've got some experience with the MERN stack and have worked on several projects. Now, I'm torn between pursuing Data Science/Data Engineering or Java Backend Development using Spring Boot. I'm interested in a few things: which of these fields offers better long-term career growth, which one generally has higher salaries as I advance, and which is more in demand right now in India and globally? I'd love to hear insights or personal stories from those who have experience in either area. Any tips or trends would be greatly appreciated! Thanks a lot!
4 Answers
It's tough to predict long-term trends, but fintech really favors Java, and its systems are likely to be stable. Data Science is booming now, especially with AI integration, leading to good salaries, but keep in mind, more automation could change the landscape. So, consider where you might want to fit in the future.
Ultimately, the best long-term choice is the one that excites you the most. When you enjoy your work, you're motivated to develop skills and progress in your career. Find what you love and commit to that path!
I see it differently: think about backend development or data engineering focusing on AI, versus becoming a data scientist. For the backend route, you'll need solid Java skills and some knowledge of frameworks like Spring Boot, plus maybe picking up Python. If you go the data science route, consider switching majors or pursuing further education in statistics, as it's heavily focused on data analysis and modeling. If you enjoy coding, stick with Java and learn Python; they complement each other well.
You're actually choosing a job, not a lifelong career. Check what employers in your area are looking for to help guide your choice.
Agreed! Java's strong backing from Oracle is a significant factor. Meanwhile, data science could evolve in unexpected ways, which may make it a riskier choice.