Technology is always evolving, and job seekers in the tech industry will need to keep up with the latest in-demand tech skills if they want to drive their long-term career growth. In this current candidate-driven market, it’s a great time to reflect on the latest trends in the industry and see what skills you may need to learn to help you advance your career, and find the right opportunities for you.
“You’ll need to be aware of the latest skills and find ways to expose yourself to them if you want to succeed in the tech industry,” says John Carey, Senior Director at ES Technology, a division of The Execu|Search Group. “The best way to learn these skills is by getting hands-on, practical experience. If your company isn’t giving you those opportunities, you should consider going to a company that does.”
Below are a few current in-demand tech skills that you should become familiar with:
With the power to securely share digital assets from a decentralized single source, blockchain technology has been groundbreaking for almost every sector. Popular for being the database behind cryptocurrencies, blockchain holds many promises for the future.
As many organizations migrate their data over to the cloud, experience with development in a cloud environment is a requirement for most companies. In particular, understanding Amazon Web Services is a necessity as it’s the number one cloud provider.
JavaScript has always been a popular language for front-end engineering. However, its popularity has grown as its capabilities on the back end were discovered. The two most popular JavaScript stacks are commonly known as MEAN and MERN. Both stacks use MongoDB for data storage, Node.js and Express.js on the server-side. However, MEAN uses or Angular.js on the front-end while MERN uses React.js. Both stacks offer an end-to-end framework for building comprehensive web apps and are made up of open source components.
Known for its simplicity, Python is a programming language that’s easy to learn and has climbed up in popularity over the last few years. Python is a good language to understand not only for web applications, but also as a scientific programming language. Two of Python’s most prevalent uses are for data science and machine learning. As data science and machine learning become more popular, so will the Python programming language.
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