What are the Emerging Engineering Skills to Succeed in Making Great Career under the Impact of Covid 19? A Transformation from Traditional Skills to Smart Digital Skills!!
Abstract:
Covid-19 has inflicted great havoc on the job industry. To become one succesesful engineer, you need to know which skills are trending in demand right now and which industry areas are growing at the time. With the starting of 2020, the world has been observing a health catastrophe with unsettling implications. The Covid-19 pandemic has brought havoc, causing a colossal amount of damage, whether it’s the loss of human lives or financial or economic shortfalls. The world saw a huge change almost overnight. Countries were demanded to impose lockdowns with extensive economic and financial disruptions. The students, on the other hand, were amongst those whose lives took an unchangeable turn. The decision is not yet out, but the pain of staying indoors is already playing chaos with the minds of the present generation. The school and college-going section had to immediately shift from in-class movement to on-screen lectures and activities. Those who were holding back for the entrance examinations to stimulate their careers are now still keeping their fingers crossed for that moment when these problems would be over.0
Impact Of Covid-19 On Technology Department
The technology and engineering departments have been hit very hard with the virus setting off rising trends in virtually every industry. Although some departments could be the worst hit, for some, it could turn out to be an incredible growth opportunity. This altered scenario would also determine the selection of careers for engineers and technocrats in the upcoming days.
Keywords
Cybersecurity Experts, Data Scientist and Risk analyst, IoT Engineer, Cloud Security Scientist, Artificial Intelligence Expert
Learning Outcomes
After undergoing this article you will be able to understand the following
1. Identifying the emerging areas as an engineer
2. How to acquire most qualification and know-how
3. What are the characteristics of emerging technologies
4. Applications
5. Prospects
6. Career Paths
1. Introduction
2. Parts of the Questions:
So, looking at the job scenario, the question at this pivotal moment for any engineering individual, whether it is an aspiring one or anyone who is already in the middle of their graduation, is what career track should one follow?
This question could be divided into two parts
— what sectors would prosper post-Covid, and
-What skills would come in easy in the future world?
3. Growth Elements Post Covid-19
The individuals of today will have to be in sync with the recent technology trends developing at this key point in history. Although the IT sector is still the highest recruiter and would stay one post-Covid, the jobs arriving in this sector would either lower or be re-engineered to fit the changed set-up. Automation is going to be the prime factor, as it is not only cost-efficient but also does not get adversely hit by working from home.
Be it the education department, the healthcare sector, the manufacturing industry or the construction sector, automation concentrating on Artificial Intelligence, Machine Learning, Data Sciences, and the Internet of Things (IoT) are going to be the chief rulers. Industry 4.0, the buzzword over the last some years, in fact, has been made feasible due to the blend of cyber-physical systems, the Internet of Things, and the Internet of Systems.
4. The Job Roles:
Here we will tell you the 6 IT sector job roles that will definitely work in the post-Covid era.
4.1. Cybersecurity Experts
As our reliance on technology is increasing, the demand for cybersecurity expertise is also growing. Students with a background in computer science, who stay up to date on the newest advances in cybersecurity, information technology, coding, and software development, should have no problem finding a job in the future.
People with a background in cybersecurity are frequently employed by a business or government organisation. It is also a fantastic career choice for individuals who wish to work in software and application development or another technology-related field as it is quite versatile.
4.2. Data Scientist and Risk analyst
Data Science skills are in huge demand, with applications in various industries. While a lot of skills could be used across multiple domains, Risk Analytics is a very specific domain that requires not only data science skills but also industry knowledge, and a general sense of what might lead to risk or fraud.
With the growth of consumer internet and fintech companies in recent years, the application of Data Science to Risk Management has increased rapidly.
4.3. IoT Engineer
An IoT engineer is a multi-skilled person who manages the device connectivity, works on sensors and software updates to keep the technology upgraded for you. An IoT developer's skills include working on cloud programming, connectivity and data management, and research tool.
4.4. Cloud Security Scientist
If you would like to become a Cloud Engineer, then attaining a Bachelor's Degree in computer science or related field is definitely your first step. In addition to looking great on a resume, they also offer a broad scope on the theory of the subject. They can also be a criteria by most companies for hiring.
How to get into cloud security: First steps
- Develop technical skills through courses, bootcamps, or a degree. ...
- Start with an entry-level IT job. ...
- Earn an entry-level IT or cloud certification. ...
- Build your cloud and security skills.
4.5. Artificial Intelligence Expert
While Artificial Intelligence (AI) is a way of making a machine to think intelligently, Machine Learning (ML) is a subset of AI and involves learning in which machine can learn by its own without being explicitly programmed.
These areas have grown exponentially in the recent years meeting the demands of digitally transformed industries. Working with AI requires an analytical thought process and the ability to solve problems with cost-effective, efficient solutions. It also requires foresight about technological innovations that translate to state-of-the-art programs that allow businesses to remain competitive.
Additionally, AI specialists need technical skills to design, maintain and repair technology and software programs. ML too demands similar set of skills along with proficiency in math, data science and software engineering. ML engineer, data scientist, business intelligence developer and research scientist are among few of the work areas in AI & ML
4.6. Big Data
Most industries are struggling with data – what comes out of this statement is that data has become a lucrative industry to pursue. Some use cases include Netflix and P&G using big data to big data to anticipate customer demand.
Managing complex databases and systems not only needs the professionals to oversee that all databases are functioning properly but alsoto troubleshoot in the event of unreliable or invalid data, and must also take responsibility for the security of information. Being able to construct the systems for capturing data - and maintain them so they're up to the standards of the latest tech trends - is an invaluable skill.
4.6.1 What is Big Data?
Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before
The sectors which have already acquired or are adapting to digitize their end-to-end workflow functioning would be at the lead of hiring. This sector needs engineers with a high-end programming skillset, not in any one language but many programming languages. The ‘work from home’ idea would feel the need for IT software and hardware products. Internationally the idea of the ‘home office’ is setting a challenge for technology and engineering service sectors, specifically those which are factually used to work on customer websites or in research labs. To virtualize the complete experience is a challenge that is gazing engineers right in the face. This would need some effort as revolution needs controlled environments to reach desirable research outcomes.
4.7. Robotics Engineering
Robotics engineers design and build robots that do certain jobs. For example, they could create a robot that plays chess or one that helps people with disabilities live more independent lives. You’ll need at least a bachelor’s degree in engineering to get started, but different schools offer programs specific to robotics engineering so you may have some choices of where to study if you want to specialize in this field.
5. Which Skill Sets Will Be In Requirement?
As the industries focus on rebuilding their outlook, work experience, scope, and mode of hiring, the students also, from their side would have to be mentally attentive and will need to level up their skills more quickly than ever before. Students’ skill sets to their particular technical know-how, should have effective communication, written along with verbal, aptitude and attitude.
There would always be a need for creative reasoning, design approaches and problem-solving expertise. These skills would be more in need seeing the recent recruitment trends, all in a virtual manner.
6. Conclusion:
In an outline, the entire engineering fraternity will certainly have to let go of the conventional mindset and think something out of the box to bring innovative answers to the way forward. As soon as the dust settles down on this eruption, the new sunrise would bring in new challenges of life and those, who transform and adapt faster, will win this race.
The future of engineering will be defined by the technologies mentioned above as engineers work on solving the challenges of the present and creating a better world for future generations. If you want to become an engineer who is trained to be successful in the future, then pursue a program of your choice in emerging technologies.
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