Historically, businesses relied heavily on intuition to make almost all decisions, including those critical to a company's survival. Today, businesses can’t afford to "go with their gut," as they have the opportunity to capture and rectify information to make intelligent, strategic, and quantifiable decisions.

Big data is used in almost every industry—from sales and marketing to food, health, and even space exploration—so when we say "big data," we mean it. The Square Kilometre Array used in space exploration, for example, generates an astonishing 700 terabytes of data per second. That is approximately 100 times the amount of data produced by the internet operating at maximum capacity.

All of this data is meaningless if it cannot be refined and analyzed. Fortunately, the specialized roles of data engineers and data scientists are equipped with adequate proficiency to manage a huge quantity of info.

This article will discuss data engineers vs. data scientist roles in detail, including the job description and the state of their job market. Let’s get straight to it.