Is big data the future of the IT sector? Well, it is one of the most crucial questions that must be weighed by those who wish to build a career in information technology. Regardless of the industry, big data has the potential to transform the way organisations operate. So much so, there is an estimated 12.5% employment growth in the Computer and Information Technology sector by 2024 as compared to the increase of 6.5% predicted for various other 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. With the advent of big data, the IT sector is set to generate more jobs. Further, several companies take vital decisions with the aid of 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 analyse information and utilise special data tools and techniques efficiently.

Without further ado, let’s have a look at some of the best job opportunities in the IT sector which demand the application of big data.

  • Data Scientist

According to a report generated by IBM, 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 organisations wanting to utilise analytics reports, there is an increased market for data scientists and analysts. The responsibility of a data scientist is to create models that use high-level diagnostic analytics and merge advanced mathematical and machine learning tools to utilise data fully. A data scientist is well-versed in interpreting structured as well as unstructured data and can analyse it by employing prescriptive and predictive analytics. The actionable insights thus generated helps 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 a company’s processes as well as improves their overall business strategy. Big data engineers plan and manage the entire big data infrastructure of a company 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 a big data engineers work involves collaborating with data scientists, there is a notable increase in the number of job opportunities as well.

  • Data Visualisation Analyst

A data visualisation analyst’s task is to present the given data in a visually appealing and understandable format which can be easily comprehended by companies. A data visualisation developer may operate jointly with a data scientist and create charts, diagrams, and graphs by using advanced big data tools such as Tableau and QlikView. This helps clients to recognise the insights and trends thus gained from the analysis and helps them understand various metrics to monitor and improve their business. The job of a data visualisation analyst 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 what it was a couple of years ago, ML is set to generate 11.5 million jobs by 2026! ML is a branch of computer science that particularly deals with designing algorithms which can predict the probable outcome. 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 visualisation analyst. The difference lies in the fact that a data visualisation analyst interprets the data and displays it in a simplified manner. On the other hand, a machine learning engineer develops a software that can run independently with the help of algorithms.

  • 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 work towards achieving the goals of a single company. A data analytics manager comes up with specific strategies which can help a business reach their target goal within a set deadline, at the best price, and with the best possible amount of profit. Interpreting and analysing 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 a large number of job opportunities for professionals in its various departments. A professional who can handle such immense data and interpret in such a way that benefits the company will be of great value. A big data professional is generally one of the highest paid jobs, and as the requirement for analysing data increases, the demand for big data professionals will also rise.