Build the Best Infrastructure: Finding Talented Data Engineers

Big data is approaching and it’s here to stay, so the best tech companies are looking for better and faster ways to leverage all that data to improve operations and increase profits. A good data engineer knows how to funnel all that data into a packet that is easy to use and understand. Your company can benefit from the skills a data engineer brings to the table, and we’ve got tips that will help you hire the most effective data engineers you can find.

A data scientist is the wizard who will look at all the relevant data you have on file and determine a useful conclusion from it, but first the data must be sorted and presented in such a way that it makes sense to the reader. This is where a data engineer comes into play. A good data engineer will build the framework that houses your data and find ways to logically separate data into sets within that framework, all to ease the burden placed on your data scientists. The data engineers take the nebulous data and wrangle it down to understandable parts, while the data scientists use those parts to extrapolate a larger conclusion or concept. The whole process may be likened to a sideways hourglass, with a lot of big data being winnowed to smaller portions, which are then expanded into big concepts again. This process is made possible by the data engineers.

Ultimately, big data requires machine learning to streamline and expedite its digestion, and this is another area where data engineers excel. Many data engineers understand the complexities of machine learning models, so when a learning process is taking a little longer than it should to complete, a good data engineer can come along and edit the machine learning model to make it more efficient.