If you’re a Big Data Hadoop developer, you’re already doing well. Developers with expertise in using Hadoop 2.7 and CloudLab are in-demand in the market; the use of Big Data to gain actionable insights is on the rise in every industry in the world.

By acquiring a Hadoop certification, or by demonstrating your Hadoop expertise with relevant work experience (by implementing real-life industry projects in Hadoop technologies, for example) you have already proved to employers that you’re a person well-suited to roles in the field of Data Analytics. But if you want to move up in the industry, you need more skills in your toolkit.

Professionals who are multi-skilled tend to earn a lot more than their peers. According to Indeed, Big Data developers who are skilled in both Hadoop and Apache Spark make a lot more money than professionals who are only skilled in one framework; the data also shows that headhunters are on the lookout for people with a wide variety of analytical skills for specialized projects and job roles.

One of the best ways skills to add to your resume is MongoDB. Professionals who are used to Hadoop will find it easy to learn, and there are many highly paid niche jobs that require a keen understanding of both the Hadoop and MongoDB frameworks.

Learn NoSQL, skills of data modeling with the MongoDB Certification Training Course. Check out the course preview now.

Why MongoDB Certification?

1. Hybridize Your Skillset, Join the Elite Club

The big data ecosystem is evolving steadily, and the Hadoop framework remains at the top, as the most in-demand skill. With Big Data requirements pivoting to real-time streaming and processing, specializing in additional skills is, in fact, gaining prominence.

Multiskilling adds enhanced expertise to your skillsets. This article sheds light on what skills to acquire, and it gives you an insight into job roles that are in high demand on a global platform.

2. As a Big Data Developer, Increase Your Earnings by Upskilling in MongoDB

MongoDB is a document-oriented type of NoSQL database. It’s the most popular type of document store on the market.

The latest salary reports from indeed.com reveal that there is a large demand for skilled Big Data professionals. Here is a table that provides a ballpark estimate of the salary benefits of learning how to use various data analytics tools, which can help you decide what skills you need to acquire to increase your earnings and climb up the Big Data career ladder.

3. Big Data Landscape in India

Market research has found evidence that adding more skills to your knowledge bank can give you a competitive edge and help you advance in the Big Data industry. The combination of basic certifications and advanced certifications and mastery of one or two specialized skills will open a lot of doors.

Up-skilling is the way to go if you want your resume to stand out from the rest. And how do you up-skill? Research shows that certifications are the best way to signal your competency. So pick up a new certification and propel your career forward, today!


As knowledge of multiple frameworks is no harm in your Big Data career. MongoDB certification helps you enhancing the skills as a Big Data Engineer as well as it gives a significant boost to your career in terms of salary and hike.

About the Author

Simon TavasoliSimon Tavasoli

Simon Tavasoli is a Business Analytics Lead with more than 12 years of hands-on and leadership experience in various industries

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