Just like we have seen trends in technology that keeps on changing, even the job profession has the same routine that is followed all over the world.
With the entry of new technology, the usage of old technology is going to decline (we said reduced, not obsolete). The reason is quite apparent; everyone in the present world loves to utilize the benefits of new technology.
Some of the recent and popular technologies include Machine Learning, Big Data, Artificial Intelligence, and many more. With the inception of new technologies, professionals opting for those technologies become worthy for companies adopting the technology. Let us, for example, take Big Data and a profession associated with technology.
With the inception of digitization, every organization has started collecting data in various formats. Like social media data, website data, marketing data, and the list go on.
Consider a situation years back when companies were investing millions in marketing to sell their product and services. Because of digitization, their burden of collecting data has reduced. But they now face an issue where data is unstructured. With such data, companies cannot find any insights. In such a situation, Big Data Engineers come into the limelight and create a structured format of data from the unstructured one to help organizations to find insight out of it.
Role of Big Data Engineer in an Organization
The data pipelines, ETL pipelines, and data warehouses are the foundation of any organization. Organizations have shifted from managerial decisions to data-driven decisions. Data speaks, and organizations listen.
The Big Data Engineers are the professionals who design, create, maintain, and optimize the complete process starting from data entering until the organizations utilize it for decision making.
Though Big Data Engineers are not seen in the limelight or in direct connection with the product where the insights will be used, they are the backbone of all the organizations.
With the increase in the data sources, challenges have emerged like storing, manipulation, updating, and creating insights. And Big Data Engineers who have taken a big data engineer course can tackle all these challenges without any fear.
And because of all these reasons, Big Data Engineer professionals are mostly in-demand professionals across the whole industry. They are highly salaried professionals across all the sectors, offering their skills and talent.
Future of Big Data Engineer. Why should someone take a Big Data Engineer course?
As we see several companies entering into the data revolution, the big data wagon is continuously growing. Companies are more reliable on the mining of data to get valuable insights, thus increasing the value of data engineers in the present world.
The data related jobs will always be on a hike, and prominent data engineers are no exception. With large volumes of data generated, the companies are still in the lookout for Big Data Engineers to use such large amounts of data and create crunchy and valuable insights for the company’s growth.
Since Big Data Engineer jobs require a higher level of skills in using Big Data, the salaries of Big Data Engineers will always be on the rise.
As per the recent research done by Burning Glass’ Nova platform, Big Data Engineer jobs were at the top in the tech jobs throughout the world, with an increase of 88% in the last one year.
According to one study done by Accenture, 79% of the organizations that do not engage themselves in Big Data and utilize its benefits, then there are chances of losing their position in the market, and they will face extinction.
As per Forbes, 83% of the companies to achieve the competitive edge of the present situation, have adapted with the Big Data applications to utilize its benefits.
Though we see complications in the usage of Big Data, companies are entering into the bandwagon with the help of Big Data Engineers. And we will see many others doing the same.
As per Forbes, the worldwide revenue of Big Data for software and services, which was $42 billion in 2017, will reach $103 billion by 2027. It will have a compound annual growth of nearly 10%.
Now coming back to our point of what a Big Data Engineer earns after pursuing a Big Data Engineering course, we can say that it depends on your skill sets and your experience. Considering a few situations, we have mentioned approximate salaries you will find across the industry.
Salary of a Big Data Engineer
Due to the lack of professionals in the Big Data field, companies are ready to pay higher remuneration to Big Data skilled professionals. Considering that you have an experience of less than one year, companies will happily spend an average salary of $62K per year. For those with more experience and data science specialization, they can expect to earn 100 – 130k per year.
However, a Big Data Engineer in their early career (1-4 years of experience) will make an approximate of $110 per annum. As these professionals move to mid-level experience (5-9 years of experience), they will start making an average of $150 per annum. And someone at the managerial level having experience between 9 to 15 years, will earn an average salary of $190 per annum.
Salary packages of the Big Data Engineers will see a steady rise as companies are nowadays asking for analytics experience along with Data Engineering experience. If you have gained some experience in data analytics along with engineering the data, then you have turned your precious stone into gold.
Summing It Up
We will see steady growth in the job openings for Data Analytics and Big Data Engineers in the coming years from now. The current situation is the best time to switch your career goals and opt for a Big Data Engineer course. There are plenty of companies across the sectors that are shifting their focus into Big Data to encash the advantages of data analysis and data insights. We will see considerable companies shifting their focus too in the coming years. So better now than never!
