Web Development, Mobile Development, DevOps, and Data Processing are currently the most significant tech areas, where the developers and engineers are the most wanted.
Data processing is probably currently the most challenging area. Many studies show that data scientists are the most in-demand career in the market right now. Companies of all sizes need to use data to increase efficiency, so many companies are looking for data scientists who have the competencies to gather, review, and analyze data. Furthermore, if you love mathematics, then data processing is the career to embrace.
You have a clear distinction between the back and front end for the web development part.
The front-part is a bit closer to art, design, and UI, including mobile. There are a lot of opportunities. If you're more of an artistic person and want to build things that you can see, the front end part should be your target.
If you want to be talking about customer needs and speak with engineers and designers as one, then a career in the back end is more suitable.
Keep in mind that web and mobile development with the rise of no-code tools is being more and more commoditized.
Above all, never stop learning. Go toMeetups, talk to more senior engineers, and work on open source projects, but do not stop learning. Technology moves fast!
You can also useFlutterfor mobile. Flutter is Google's open-source technology for creating mobile, desktop, and web apps with a single codebase. Flutter is not a framework or library; it's a complete software development kit (SDK). The back-end depends on what you want to build if you're developing fast microservices or large monolithic applications.
GoLangis really lightweight and fast. It is well suited for tiny pieces of code that go very fast. GoLang makes it easier to write a fast, parallel program than in most other languages.
CSS/HTMLare essential if you want to do web development.
And finally, for all the data processing, you can do Python if you are a scientist. Otherwise, you can use Scala, which at PURE LAMBDA we love for data engineering.
In terms of paradigm, you should know about object-oriented design,REST API, SOLID, and Functional Programming. Lots of paradigms exist out there and you should know multiple to have options on your toolbelt when faced with a problem to solve.