Why a Career in Big Data Is the Right Choice for You?

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Last updated on
11th Mar, 2021
Published
18th Jun, 2019
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Why a Career in Big Data Is the Right Choice for You?

Are you in that job market where the Big Data skills are more appreciated? Confused about whether to make a career shift in Big Data or not? What will be the next career options available for me after Big Data? Just spend some time reading this blog and know the answers to all these questions and the reasons for making Big Data as a career choice.  

“Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming.” 

– Chris Lynch

Reasons to Must-Have Big Data in your career

1. Increased Job Opportunities for Big Data professionals

With the technology reaching greater heights, undoubtedly Big Data is becoming a buzz word and a growing need for the organizations in the upcoming years. But, as Jeanne Harris, a senior executive at Accenture Institute said- “Data is useless without the skill to analyze it.”

Today, Big Data professionals have a soaring demand across organizations worldwide. Organizations are making huge use of Big Data to stay ahead of the competitive market. The candidates with Big Data skills and expertise are in high demand. According to IBM, the number of jobs for data professionals in the U.S will increase to 2,720,000 by 2020.

2. Salary Growth

The strong demand for Big Data professionals is affecting the wages for qualified professionals. According to Glassdoor, the salary provided by various organizations based on the employees working in these organizations in the US region are as follows:

CompanySalary
J.P. Morgan$93K – $100K
Cognizant Technology Solutions$92K – $98K
CSAA Insurance Group$133K – $144K
ZipRecruiter$81K – $89K

The salary of Big Data professionals is directly proportional to the factors like the skills earned, education, experience in the domain, knowledge of technology, etc. Also, one needs to understand and solve the real-world Big Data problems and a good grasp of tools and technologies.   

3. Massive Big Data adoption

Forbes stated that- Big data adoption in enterprises is increased from 17% in 2015 to 59% in 2018, reaching a Compound Annual Growth Rate (CAGR) of 36%. Big Data is steadily spreading its wings across numerous sectors including sales, marketing, research and development, logistics,  strategic management, etc.

According to the 'Peer Research – Big Data Analytics' survey by Intel, the decision has incurred that- Big Data is one of the top priorities of the enterprises taking part in the survey as they believe that it improves the performance of their organizations. From the survey, it is found that 45% of the respondents trust that Big Data will offer more business benefits to rank on the top of the Big data market.    

Bigiota Insight out forecasted that the Big Data market is expected to grow to $80 billion from current $40 billion making a revenue of $187 billion.”

4. Various options in job titles and responsibilities

Big Data professionals have an array of job titles open depending on the skills they have achieved so far. The options for the Big Data job aspirants are many where they are free to align their career paths based on their career interests. Some of the job roles Big Data professionals can play are as follows:

  • Data Engineer
  • Business Analyst,
  • Visualization Specialist
  • Machine Learning Expert
  • Analytics Consultant
  • Solution Architect
  • Big Data Solution Architect
  • Big Data Analyst

5. Usage Across numerous firms/industries

Today, Big Data is used almost in every firm. The top 5 industries recruiting Big Data professionals widely are Professional, Scientific and Technical Services (27%), Information Technology (19%), Manufacturing (15%), Finance and Insurance (9%), Retail Trade (9%) and Others 21%.

Industries recruiting  big data professionals

The career path of a Big Data professional

Although the term Big Data is used commonly nowadays, there are many career paths available for the Big Data professionals to stand out in the industries that can be explored as per one’s potentiality and interest. The career paths that Big Data professionals can play are:

  • Data Scientist
  • Big Data Engineer
  • Big Data Analyst
  • Data Visualization Developer
  • Machine Learning Engineer
  • Business Intelligence Engineer
  • Business Analytics Specialist
  • Machine Learning Scientist

Let us see them in details:

The career path of a Big Data professional

1. Data Scientist:

This is the most sought-after career path in Big Data careers. The Data Scientists are the individuals who use their technical and analytical skills to extract meaning from data. They are responsible for collecting, cleaning, and manipulating data.

2. Big Data Engineer:

Big Data Engineer is a well-known and more demanding career option. Data Engineers are the professionals responsible for building the designs created by Solution Architects. They are responsible for developing, testing, managing, and maintaining the big data solutions in the enterprises.

3. Big Data Analyst:

Being a command on the big data technologies like Hadoop, Hive, Pig, etc. and analytics skills, Data Analyst finds out relevant information from the datasets. This is also most demanding in Big Data career.

4. Data Visualization Developer:

The data visualization developers have the responsibilities of designing, conceptualizing, developing the graphics or data visualization, and supporting the data visualization activities. They should have strong technical skills for implementing visualization using tools.

5. Machine Learning Engineer:

Today, Machine Learning has become a crucial part of Big Data. Being an expert in machine learning (Machine Learning Engineer) responsible for building the data analysis software to run the product code without human intervention.

6. Business Intelligence Engineer:

Business Intelligence Engineer is in more demand today as around 90 percent of IT professionals are planning to increase spending on BI tools, as stated in the Forbes report. BI engineers are responsible for managing the big data warehouses with the help of Big Data tools and solving complex issues related to Big Data.

7. Business Analytics Specialist:

Business Analytics Specialist is an expert in Business Analytics field who aids in developing the scripts to test scripts and carrying out testing. They are also responsible for taking up business research activities to analyze the issues for developing cost-effective solutions.

8. Machine Learning Scientist:

Machine Learning Scientist work most probably in the research and development department. They are responsible for developing the algorithms to use in adaptive systems, adding product suggestions, and forecasting the demand for the same.

Conclusion:

Companies hiring Big Data professionals

As per Entrepreneur, Businesses that use Big Data saw a profit increase from 8 to10 percent and almost 10% reduction in overall cost. Another survey from Forbes states that IBM predicts demand For Data Scientists will reach 28% by the year 2020. As the data pours in, many high-rated companies like Google, Apple, NetApp, Qualcomm, Intuit, FactSet, The MITRE Corporation, Adobe, Salesforce, and so on are investing in Big Data.   

According to the most recent McKinsey report, companies based in the U.S. are seeking for hiring 1.5 million Managers and Data Analysts with the strong knowledge and experience in Big Data. One can attain the most in-demand Big Data skills by taking specialized training in Big Data to go for any of the Big Data careers available in the job market.

With the rising demand that industries are witnessing, it is an ideal time to add Big data skills to your curriculum vitae and offer yourself the wings to fly in the job market with the ample of Big Data jobs available today!  

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