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Is big data the future of the IT sector? It is one of the most crucial questions that those who wish to build a career in information technology must be weighed. Regardless of the industry, big data has the potential to transform the way organizations operate. So much so, there is an estimated 12.5% employment growth in the Computer.
Information Technology sector by 2024 compared to the increase of 6.5% predicted for various other jobs. With the advent of big data, the IT sector is set to generate more jobs. With several job opportunities available in the IT sector, big data can help you embark on a better career path and earn you a high-paying job. Further, several companies make vital decisions with business-centric data to help pave the way to a more secure future.
Big data demands an extensive amount of skill and understanding, thus getting big data certifications will teach you how to analyze information and utilize special data tools and techniques efficiently. Without further ado, let’s look at some of the best job opportunities in the IT sector that demand big data applications.
Data Scientist
According to a report generated by IBM, a data scientist job is the fastest-growing career in data analytics and is estimated to reach 61,799 job openings by 2020! Presently, India has the largest number of data scientists worldwide, and with many international organizations wanting to utilize analytics reports, there is an increased market for data scientists and analysts. A data scientist’s responsibility is to create models that use high-level diagnostic analytics and merge advanced mathematical and machine learning tools to utilize data fully.
A data scientist is well-versed in interpreting structured and unstructured data and can analyze it by employing prescriptive and predictive analytics. Thus, the actionable insights help data specialists comprehend the information and demonstrate how a company can leverage it to increase sales and add value to their businesses.
Big Data Engineer
A big data engineer’s chief responsibility is to source relevant information from a vast amount of data and convert it into an understandable format that benefits its processes and improves its overall business strategy. Big data engineers plan and manage a company’s entire big data infrastructure by gathering data, which they use to build the basic architecture needed to run the analysis. Once the analytics report is prepared, big data engineers integrate it with the management and production infrastructure to present innovative solutions. Since big data engineers’ work involves collaborating with data scientists, there is a notable increase in job opportunities.
Data Visualisation Analyst
A data visualization analyst’s task is to present the given data visually appealing and understandable, which companies can easily comprehend. A data visualization developer may operate jointly with a data scientist and create charts, diagrams, and graphs using advanced big data tools such as Tableau and QlikView. This helps clients recognize the insights and trends thus gained from the analysis and understand various metrics to monitor and improve their business. A data visualization analyst’s job requires extensive technical expertise and creativity, and they are paid a handsome amount of compensation depending on their skill and experience.
Machine Learning (ML) Engineer
With the number of ML engineers being 9.8 times more than a couple of years ago, ML is set to generate 11.5 million jobs by 2026! ML is a branch of computer science that deals with designing algorithms that can predict probable outcomes. A machine learning engineer possesses high expertise in data structuring, system designing, and computer architecture. The job of an ML engineer runs parallel to that of a data visualization analyst. The difference lies in that a data visualization analyst interprets the data and displays it simplified. On the other hand, a machine learning engineer develops software that can run independently with algorithms’ help.
Data Analytics Manager
A data analytics manager designs strategies based on the reports generated from business analytics professionals. They tend to manage a moderately low amount of data and typically achieve a single company’s goals. A data analytics manager comes up with specific strategies which can help a business reach its target goal within a set deadline, at the best price, and with the best possible amount of profit. Interpreting and analyzing data and ultimately delivering useful information is not an easy task as it may take several weeks to filter data and come up with accurate solutions.
The IT field is one of the most flourishing sectors, which has created many job opportunities for professionals in its various departments. A professional who can handle such immense data and interpret it to benefit the company will greatly value it. A big data professional is generally one of the highest-paid jobs, and as the requirement for analyzing data increases, the demand for big data professionals will also rise.
