Tech savvy, on-demand talent is in huge demand.
Because technology talks in many different languages, and fluency in one or more of those coded conversations will increase your chances of speaking face-to-face with a hiring manager.
In the wild world of the World Wide Web, programming languages, frameworks and technologies are ever-evolving; leaving some to fall victim to obsolescence or irrelevance.
So, if you want to net a job as a developer, you’ve got to keep honing your skills. Here’s a list of the top 8 in-demand program languages our recruiters are hearing you should know right now.
Java's popularity decreased by 6, 000 job postings going into 2018, but it's still an extremely established language. "It's still the most commonly used development language," agrees Julina Throop, a Technical Recruiter with Procom. It's so common, in fact, that all Android apps are based on Java, and 90% of Fortune 500 companies use Java as a server-side language for back-end development.
Most, commonly used in scientific computing, data mining and machine learning, Python's popularity grew by 5,000 jobs in 2018. Yet it's still a niche skill. "It's something not too many people have depth in," admits Melissa Bieth, a Technical Recruiter with Procom, "It's learned in University, typically, but not always used beyond that." Yet, as the need for machine learning developers increases, so does the demand for Python.
4. .NET Core
.NET Core is a cross platform, open source re-implementation of the .NET Framework, and it's come a long way since Microsoft began working with the .NET Framework in the late 1990s. .NET Core is the newest version and is comprised of two major components: Runtime and Base class libraries.
Big Data Technologies
6. Apache Spark
Companies are constantly on a quest to harness the power of their Big Data. And because the huge amounts of data collected come from a variety of sources, it's too massive a task for conventional technologies. Ere go: Apache Spark. It supports all Big Data languages and its built-in modules for streaming, machine learning, graph processing and SQL support is the fastest general engine for Big Data processing.
Scala's rise in popularity is probably because of Spark's massive growth -- Because Apache Spark is actually written in Scala. It's a general purpose programming language that combines both object-oriented and functional programming. It's even earned a reputation as a power player for data processing, machine learning and streaming analytics-- rivaling established languages like Java and Python.
Hadoop is an open-source software framework for storing data and running apps on clusters of commodity hardware. As data volumes are increasing with the use of social media and IoT, the ability to store and process huge amounts of data is key. Hadoop has four core modules included in the basic framework from the Apache foundation: Hadoop Common, HDFS, YARN and MapReduce.
Remember: It's a skill to speak in code.
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