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December 3, 2015

IoT jobs: 5 most in-demand skills

List: In the smart world, employees have to be even smarter.

By

Hiring demand for positions and skills required to build the Internet of Things is at an all-time high, according to Wanted Analytics.

The largest growth in open IoT job positions include systems software developers (215% growth in the past year), information security analysts (113% growth), and computer systems engineers (110% growth).

CBR lists five major skills that ‘smart employees’ will need to thrive in the IoT.

 

1. Computer programming

Software is the main driver of any device, and as more devices come online, the need for more coders is set to surge.

Essential attributes include computational thinking, with programmers advised to follow three different paths: application development, database development, and web development.

The most required programs are SQL, mySQL, MariaDB and Postgre, while the most common languages are C and Java.

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2. User interface (UI)

The IoT has resulted in a host of devices – from wearables to smart home systems – with all of the devices requiring a different user interface.

Skills around UI include visual design, metrics, analytics, wireframing and prototyping.

Job advertisements for roles such as interaction designer (XD), UI designer, user experience (UX) designer, visual designer, product designer and digital product designer are set to become more common.

 

3. Business Intelligence

Understanding business intelligence (BI) is going to be paramount to successfully break into a ‘smart career’.

Data streams are just going to grow ever more, and BI experts will have to possess a wide knowledge around big data, including tools like Hadoop, noSQL, query language and flash storage.

 

4. Hardware engineering

Knowing technology around Wi-Fi, Bluetooth, and other connectivity solutions are skills in demand as all IoT devices will need to communicate to and from different sources.

Other specific areas hardware engineers will need to know include computer aided design, micro-electromechanical systems engineering, wireless sensor design, and quality assurance.

 

5. Artificial Intelligence expertise

Artificial Intelligence experts will have to be able to create intelligent systems that can operate by themselves. This includes knowing languages like C ++, C and Java.

Those working in the AI space will also need to know programming and systems analysis, have knowledge of several computer languages, practical skills and experience to implement ideas.

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