With the enormous rise in innovations in the world of data science, we can categorically say that the era of a spreadsheet is winding down very fast (if not already over). Activities such as Google inquiry, scanning of passport, your online shopping records are all loaded with data that can be smartly collected, intelligently analyzed, and technically interpreted to inform strategic marketing decisions that can be monetized. In less than ten years, the processing speed, ability, and prowess of CPUs are expected to match or equal that of the human brain.
Data engineers and data scientists operate in an area of specialty that overlaps one another. Their skills and responsibility are on the same path; they only differ in focus.
Data engineers are focused on the construction and deployment of infrastructure for data generation, while data scientists are focused on statistical and mathematical analysis of the generated data. Essentially, data scientists are engaged in constant interaction with the infrastructural data constructed and managed by data engineers.