Digital Marketing Course in Abu Dhabi - Online/Classroom Training Institute in Abu Dhabi

A-Z Guide on Becoming a Successful Big Data Engineer

Living in the 21st century, big data has already been announced as the sexiest job of the era. That being said big data engineer jobs are one of the most sought-after jobs that everyone is looking within the industry. With the entire world shifting online, it has become now than ever to shift their interest into big data for a better insight for their customers. Through this article, we want you to make you aware of the significance of big data and how you can land into one such job with the proper skillsets.

Who exactly is a Big Data Engineer?

Before understanding the work of a big data engineer, it is very important to clear the concept of big data. Basically, big data is an array of unstructured, dynamic data that is available in a large quantity. With such a massive size, it has become quite of a challenge to process the same with the help of conventional database and software. And this is exactly where the big data engineer comes into play to save the day. With the help of pattern recognition and analyzing the data, once can predict a particular customer’s shopping behavior or a user’s content consumption preference. The opportunity is huge, and companies can achieve a lot with the help of big data.

Big Data Engineer Skill Sets

Being one of the most demanding jobs, a candidate applying for a big data job needs to have the following skillsets:

1) Apache Hadoop

With its existence for more than a decade, Apache Hadoop is still considered as one of the significant big data engineer skillsets by today’s standard. Recruiters from all over the world demand the need for Apache Hadoop into the profile of a big data engineer.

2) NoSQL

With the era of traditional SQL databases like Oracle and DB2 long gone, NoSQL has become one of the most demanding skills. Some of the commonly used NoSQL databases include MongoDB and Couchbase. One of the biggest advantages of using NoSQL is that they are better equipped with handling big data and their storage requirements.

3) Learn Cloud Clusters

Being able to set up cloud clusters to accommodate such volumes of big data is very important for a big data engineer. While offering a wide range of flexibility, big data engineers can always crunch data into discrete patterns on cloud clusters.

4) Artificial Intelligence and Machine Learning

There’s no arguing to the fact that AI and ML is everywhere. With tasks like data mining and working with big data, these engineers should have adequate knowledge on how to use the AI and ML for managing that data and analyze them correctly.

Wrapping Up

While concluding the above article, if you want to pursue a career in big data, make sure to hone the skills that are required and recognized by the industry. By having a clear understanding of the job description, you can always land over your dream job. Further including, the market not being saturated enough, you can also end up with a higher pay scale.

Join us at Abu Dhabi