Here is the list of top must have skills for an IoT developer:
To develop IoT application developer need to have skills in atleast one below programming language.
Programming Languages –
C and C++:
Some of the most common and basic programming are C and C++, so it’s no surprise an IoT developer will want at least some skill there. They’re versatile enough that they can be used for almost any project and form the foundation of other programming skills that are sorely needed.
While many are familiar with Java, that doesn’t make it any less valuable for IoT development. Java is an object-oriented language with a particular strength in being portable, something very handy with the IoT. Like C and C++, Java is also flexible enough to be used in various different projects.
The programming language Python is known most for its use in web development. This skills translates well to the Internet of Things, but it’s also really useful when it comes to readability. Python is generally much easier to read than other languages, making it a helpful choice when working on IoT projects involving many different people.
The “things” component in IoT is essentially electronic or electromechanical devices. Devices that are able to measure, perceive or react to the environment around them. Think of these devices as having some bit of computational ability to measure using sensors and then transmit the signal from these sensors. That’s where knowledge of embedded systems come handy, and is the most needed skillset for IoT.
Embedded system (within IoT) refers to a system where there are items and objects with sensors embedded in them, which are connected to the web and hence are able to communicate among themselves and with us. So having knowledge in areas of embedded systems electronics design, fabrication technologies, measurement systems, and hardware knowledge of the machines used for creating an embedded system will allow you to enter the field of IoT and become an IoT professional.
In IoT, embedded sensors interact with the environment around them. The information they collect is then sent to be analyzed. The network through which the information flows must be designed to be flawless, set up for enormous traffic and must be secure and reliable. Developers must know the basics of OSI stack, how the connectivity protocols work and what are the latest standard in IoT communication. If you have any questions on IoT networking then you can get IoT network engineers help here at IoT Network Engineers Forum.
We have been talking about the amount of data generation and how it is to be stored and interpreted and so on. But there is one very important factor which need to be given prime importance and that is security of data and especially which is sensitive. Sensitive data could be your data of your location from your smartphone or your health history from your smart bands and data like this needs ultimate protection. Hence as an IoT professional, you will be responsible for cyber security and expected to have skills for the same.
IoT analytics is the application of data analysis tools and procedures to realize value from the huge volumes of data generated by connected Internet of Things devices.
The potential of IoT analytics is often discussed in relation to the Industrial IoT. The IIoT makes it possible for organizations to collect and analyze data from sensors on manufacturing equipment, pipelines, weather stations, smart meters, delivery trucks and other types of machinery. IoT analytics offers similar benefits for the management of data centers and other facilities, as well as retail and healthcare applications.
Simply put, cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics and more—over the Internet (“the cloud”). Companies offering these computing services are called cloud providers and typically charge for cloud computing services based on usage, similar to how you are billed for water or electricity at home.
Design for Data:
Big data drives IoT, and the job of software engineers, network engineers, and UX engineers is to make the data work seamlessly for users. Cities are opening up their big data in an effort to have developers solve infrastructure problems and innovate solutions. Ability to read and interpret data in a meaningful way will be most sought after.
As mentioned above, IoT projects usually require a team of developers. One personal skill that’s essential in such environments is being a good communicator. Making complex ideas and concepts easier to explain makes the project easier for everyone involved.
At the same time, collaboration and cooperation are needed in a team setting. A developer that can work with different people of different knowledge and skill sets will prove to be a valuable member of the team who can be placed on any IoT project of importance.
IoT development will face good times and rough times. The developer able to push through the most stubborn challenges is the one who will be the most successful. Showing persistence in the face of adversity without getting frustrated is a must as the growth of the IoT barrels straight ahead.
Why should a developer be aware of Business Intelligence? Sounds crazy. Right? However, take a step back and have a deeper look at IoT problem space. It is all about collection, storage and analysis of streams of data from smart devices. If you don’t understand the value of data, how are you going to make sense of it? Needed skill sets include sensor data analysis, data center management, predictive analytics, and programming in Hadoop and NoSQL.
IoT objects will come in all shapes and sizes and User Interface and User Experience professionals will be needed to create interfaces that are effective and user-friendly.
In the Internet of Things concept, all objects are expected to be controlled by mobile devices like smart phones, wearables, tablets, etc. Mobile applications will be required to do this, thereby making professionals with the knowledge of making mobile apps for iOS and android phones, most sought after in the IoT industry.
Machine Learning and AI:
Gathering and analyzing a large amount of data would only make sense if we are able to decipher the pattern and eventually predict the outcome. As IoT becomes more complex and ubiquitous, AI will be called upon to handle more tasks and make autonomous decisions.
A McKinsey survey found that 40% of the value of IoT is in its operability. Given with a large amount of data and interfaces, developers who know how to connect automatic API testing with manual testing will be the ones who actually get their products to market.
IoT Software Platform:
Are you ready to get started developing IoT solutions?
The technologies involved in developing IoT applications are rapidly evolving. Developers should be prepared to cultivate a diverse set of skills, and be agile and willing to adapt to new processes, platforms and tools. On Meenag.com we have hundreads of articles written for IoT Developers. We also have IoT developers discussion forums on topic like IoT Sensors, Gateways, IoT Software Platforms, different IoT networks like LoRa, Z-Wave, NB-IoT etc.