A LOWDOWN ON THE HOTTEST CAREERS EMERGING IN 2020

career 2020
A LOWDOWN ON THE HOTTEST CAREERS EMERGING IN 2020

The technology sector in India is churning. And so is the corresponding career market. The old order is giving way to the new. Check out the hottest, most in-demand careers which will rock 2020.

As digital innovations evolve worldwide, every other day, they are affecting how organizations and people both, use technology extensively. For instance, cloud, an alternate computing model has gained ground in big and small enterprises alike. It is more secure and dependable at a much lesser cost than conventional software. Similarly, on the home turf, Project Aadhaar, together with extensive banking systems and new foundations of mobile infrastructure, has revolutionised identity digitization of almost 95% of the populace. These developments have paved the way for futuristic progress in technology and its cascading effects on GDP rate, tax revenues, agricultural and manufacturing productivity.

Such is the impact of the changed scenario that the job market, all over the world and in India, is also transforming at a pace never experienced before. India accounts for a whopping 17.9% of the global population! And with an ever growing presence in the IT sector, the impact on careers is also being felt predominantly here!

While its true that some jobs are fast becoming redundant, there is a host of careers which have emerged with the advent of newer technologies. As a matter of fact, new careers in tech are definitely dominant. As per the Indian Staffing Federation, “The Indian tech industry will add another three million new jobs in the next five years”. It is projected that by 2023 country’s tech workforce will stand at 7 million.

This estimate allays some fears about jobless growth due to ever increasing automation substituting the human factor. Moreover, though tech jobs will dominate, careers entailing soft skills like account management and customer service and success, as also digital marketing will correspondingly enhance in importance, because human intervention is still significant in the digitization process. In the light of all these market and business changes, fresher, novel talent pools are increasingly in demand now. Most of these jobs have emerged in sectors such as IT&S, computer software, marketing & advertising, financial services, healthcare and pharma, and internet services, as well as telecom and electronic industries.

Let’s have a look at some:
  • BLOCKCHAIN DEVELOPER

What is block chain?

This technology, in simplest terms, has to do with digital information or ‘blocks’ being stored and managed in a public database or ‘chain’. A block chain developer does precisely that.

Block chain development has seen massive growth as a career option in the last five years and is still projected as India’s fastest-growing career option for 2020. In addition, India is the world’s sixth largest holder of block chain patents. As a matter of fact, increasing digitization is pushing companies in IT &S, computer software, internet, financial services, healthcare etc. . to invest heavily in block chain technology.

  • LEAD GENERATION SPECIALIST/ DIGITAL MARKETING SPECIALIST

A lead generation specialist identifies new markets, potential customers so as to say. The skills sets required are market research, CRM, business development and digital marketing.

A digital marketing role is a subset of the above, wherein data is used to identify target markets, with the sole purpose of creating digital and online marketing campaigns.

Concerning this same career field is becoming a You tuber or a Social Media Influencer. These jobs could be typically individualistic or part of a digital marketing role.

  • FRONT-END ENGINEER & BACK-END DEVELOPERS

A front-end engineer creates the visual elements of web applications, in tandem with web developers, to keep them functioning optimally. Again, IT&S, computer software, internet, marketing & advertising as also electrical and electronic manufacturing companies have such roles.

A back-end developer is responsible for programming, developing and implementing a web application, particularly the front-end logic that presents the visual elements that the user sees.

  • DATA ANALYTICS & SCIENCE SPECIALIST

Data analysis means inspecting, cleaningtransforming and modelling data to study trends, to unearth information which can be used scientifically for business decisions.

Data analytic experts are in demand heavily in financial markets, retail banking, mining, healthcare and pharma, energy, e-commerce, web analytics and FMCG. Marketing and advertising services and IT& S, internet.

  • CYBER SECURITY SPECIALIST

Cybersecurity specialists keep cyber crime at bay by keeping computer information systems secure. They protect systems against phishing, denial-of-service attacks, malware, viruses, and hacking. Notably, these experts are in high demand in IT&S, computer software and network security, accounting and management consulting firms.

  • ROBOTICS SOFTWARE ENGINEER

Robotics engineers create software robots to automate manual business processes.

An off shoot of this career is being a RPA. Typically, the role of a robotic process automation (RPA) consultant is to help organizations adopt automation effectively.

  • SITE RELIABILITY ENGINEER

Site reliability engineers ensure apps work smoothly by keeping system administration at optimal functioning, via a software engineering methodology. The main role of this job is to maintain highly reliable software systems, by borrowing the discipline of software engineering for application to operational issues. This kind of job belongs to a software engineer with excellent administration skills or a thorough system administrator with sufficient coding and automation knowledge.

  • ARTIFICIAL INTELLIGENCE/MACHINE LEARNING SPECIALIST

Artificial intelligence specialists are the next big thing in coming years. Their job is to help machine learning, so that machines understand their environment enough to function autonomously, besides taking in information. Furthermore, AI and machine learning are slightly different concepts. Notably, AI is the larger goal of autonomous machine intelligence, whereas machine learning means the actual scientific methods involved in creating AI. Machine learning is a part of AI, but not all AI is necessarily machine learning. Examples of AI in common life are Cab apps like Uber or futuristically, auto-pilot cars.

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