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.

Data Systems vs. Data Sets: Engineers Build Flexible Systems

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.

Simplified Datasets Lead to Efficient Machine Learning

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. When your company is on the lookout for competent data engineers, be sure to look for engineers who have experience with machine learning; the best data engineers can use knowledge of machine learning to maximize your company’s digestion and analysis of data.

Basic Building Blocks: Good Data Engineers Know the Fundamental Languages

Many of the critical programming and developing jobs nowadays require knowledge of several programming languages, and it is vital that the data engineers your company hires are fluent in a wide variety of these languages. Python is ubiquitous now, but many program foundations rest on lower-level languages such as Scala and C++; a really talented data engineer will know how to program in all these languages in order to bring the bigger picture into focus. The well-rounded nature of a talented data engineer translates well into other data-related jobs, so it may be helpful for your company to look for engineers who have dabbled in data science and coding.

Clearly, a good data engineer takes a holistic approach to data analysis, moving from big data to streamlined data sets and back to big conclusions. If your company can find workers who can systematize data and understand it while refining machine learning, you will have more than a good data engineer.

Visit www.PROPRIUS.com for more information on how to improve your team and career. PROPRIUS is an Artificial Intelligence Industry recruiting firm dedicated to projecting organizations to the next level.

If you are ready to accelerate your team, then schedule a 10-minute discovery call at https://PROPRIUS.as.me/Discovery. We have a dedicated search process designed to locate, connect with, and deliver the most talented candidates.

If you are looking to propel your career, then schedule a 30-minute intake call at https://PROPRIUS.as.me/Intake. We identify the top Engineers in the Artificial Intelligence Industry that generate results, create opportunity and inspire others to perform their best work.

Joshua Crawford | Managing Director | PROPRIUS

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