Python, Java, Linux and SQL: These are the hot tech skills employers are looking for

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Owen Hughes

Written by

Owen Hughes, Senior Editor

Owen Hughes

Owen Hughes
Senior Editor

Full Bio

on December 15, 2021

| Topic: Software & Services

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It’s a good time to be a developer.

Image: Tom Werner / GETTY

Developers, cybersecurity specialists and other skilled tech professionals are proving particularly elusive for hiring managers, largely as a result of the ramped-up demand for software and IT solutions prompted by the pandemic.

The latest Tech Jobs Report by recruitment agency Dice sheds light on exactly where this demand lies in the latter part of 2021. In Q3, job listings in the tech industry suggest that organizations are on the lookout for technology professionals “who understand the core concepts of software development and project management” and possess technical skills in Linux, as well as programming languages Java, Python and SQL.

“Employers have been very public about their issues with securing the right kind of talent to fill open roles; there’s clearly demand for technologists with particular skills, but perhaps not quite the same level as when businesses were first opening again,” it said.

SEE: Programming languages: Python is on the verge of another big step forward

Dice’s Q3 Tech Job Report also offered insight into the specific software platforms to have seen a growth in interest amongst hiring companies. Docker Software, for instance, saw its appearance in tech job postings increase by 31% between Q2 and Q3 2021, followed by Microsoft Azure (12%) and Git, which saw a 10% increase.

This reflects the accelerated shift towards the cloud, Dice said: again, largely instigated by the COVID-19 pandemic. Technologies like Docker, Azure and Git “have an enormous impact on the web and cloud,” meaning workers who are proficient in these platforms are likely always going to find themselves with strong employment prospects. Tableau, data analysis and change management are also seeing a spike in demand – all of which are “used by the managers who are guiding [cloud and web] projects to completion.”

Looking forward, machine learning and data science are likely to become mission-critical for organizations that want to turn their datasets into new revenue streams and ways of gleaning insight into customer behaviour. “Success in everything from customer service to supply chain management could eventually hinge on effective application of machine learning and data science,” said Dice.

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