What Employers Look for while hiring Big Data Candidates?

Big Data is a rapidly growing field that is producing an ample amount of employment opportunities for people. However, a lot of candidates find it difficult to land a job in Big Data is they are not exactly clear about the expectations of potential employers.

We will shed some light on some of these very factors that might help candidates land jobs in the field of Big Data. However, before we discuss them in a little detail, let us first take a brief look at what Big Data is.

What is Big Data?

Big Data is an extensive field that deals with large quantities of structured and unstructured data. In this domain, you study ways to utilize those data sets to analyze patterns, make forecasts, strategize campaigns, and basically extract information and use it in a more meaningful way.

This information allows experts to figure out how to move forward with important decisions within an organization. Data analyzed within this domain may belong to all sorts of categories such as human behavior, sales statistics, shopping trends and so much more, all of which helps in making well-informed decisions.

What Traits will land you Big data job?

1. The Drive to Go the Extra Mile

You might be well equipped to take on the task assigned to you considering your extensive knowledge of the field, but that is not enough to land you a job in the Big Data sector. Employers receive tens of thousands of applications on a regular basis and almost every candidate is offering the same expertise.

In order to stand out from the crowd, you must be able to present some unique qualities that others either do not posses or havent presented in the right manner. Along with technical knowledge of your subject, you need to be equipped with other skills as well such as interpersonal skills, improvisational skills, and last but not the least, a passion to work in the field you are applying for.

2. A Sufficient Level of Expertise in Coding

Unlike traditional data analysts, Big Data candidates are required to possess a significant level of knowledge of coding languages. In this field, you are required to take on humungous amounts of data of all kinds. Each data set presents you with a number of unique complications.

In order to tackle such problems, you are required to make modifications and customizations on a frequent basis. This can only be done if you are able to create complex programs and pieces of code to execute particular functions.

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3. Familiarity with Major Technologies

There are numerous roles you can take on in the field of Big Data such as analysts, developers, architects or administrators. All present their own challenges and require you to be proficient in a certain set of tools and skills.

You must be aware of the role you want to move forward in plus you need to be proficient in tools that are built for that particular role. Tools such as Hadoop, NoSQL, Kafka, and Blockchain are only the tip of the iceberg if you start exploring them in proper detail.

4. Certifications

Most candidate have degrees to prove that they know at least something about the field. However, if you want to go beyond and stand out from the crowd, it would be better if you add a few certifications in your armor as well. It gives the impression that you genuinely made an effort to excel in the field.

While there may be many certifications that might help you get the skillset you need, we have narrowed down a few of them to make the research process easier for you. Here are some of them that you shouldn’t miss:

a. IBM Certified Data Architect

This certification by IBM focuses on areas such as BigSQL, Hadoop, and BigInsights. It is ideal for candidates who want to pursue a career as data architects as it helps them better understand customer’s requirements from the product.

b. Cloudera Certified Associate (CCA)

This particular certification trains developers in the field of data processing with the help of Hadoop and Spark tools. The course takes no more than 2 hours to complete. All candidates need to complete a number of tasks that test their data processing skills.

c. SAS Certified Big Data Professional

This certification provides candidates the skills they need in order to perform their duties using SAS data management tools. Being an open-source platform, SAS plays a significant role in this industry, thus having a certification like this would really come in handy.

5. Prepare yourself well

The field of Big Data can be pretty demanding and if you do not have the right set of tools at your disposal, you might find it pretty hard to get a good grip and land a job. However, make sure though you have a fast internet connection. You wouldn’t want to deal with the frustration of lagging internet while learning something new, do you? Using these certifications as arsenal in your possession, you will be better able to flourish in this field. So start now and grab big data job!!!