Workplace job titles are often far from accurate or precise. Many employees are quick to point out that their job titles don’t align with the work they actually do. Some companies even choose to forego job titles altogether, instead embracing the theory that everyone knows their rule – and sometimes to underscore the idea that hierarchies aren’t the best way towards innovation.
In technology in particular, things are little different. It might seem that anyone who works in tech is a programmer, or at least has some programming skills, but with big data on the rise, two jobs are in high demand: data engineers and data scientists.
The positions may sound the same – and companies may think they’re the same, with similar job descriptions or candidates. But, they’re very different, with less overlap than the names may imply.
As big data integrates into all types and sizes of companies, the positions of data engineers and data scientists are increasingly vital. Let’s explore what these job titles mean and how they support two different, both necessary, parts of big data.
Source : Chrissy Kidd