Knowing that Big Data is the big thing today. Big Data professionals often need to know about the big data career available in the market. With enormous growth, Big Data has even become an attractive career option for professionals today. The companies from many domains have opened several positions for Big Data Professionals. The demand for Big Data professional is growing every day, and big data is here to stay.
Why Have Big Data Professional Careers Become a Craze?
With so many opportunities in the Big Data domain, it has become a craze to make a career in Big Data. Big Data Professional is becoming a boom to learn Big Data and to make as well as increase their job.
Let’s have a look at the reasons which make big data career so demanding:
1. Demand for Big Data Professional
Organizations today require big data and analytics professionals in a large number, and this demand is only rising. Organizations want to exploit the big data power to stay ahead of the competition. The job opportunities want applicants with big data skills and expertise.
2. The Lack of Big Data Talent
There is a steady improvement in job openings, but the supply of talent is less. This lack of big data talent is globally leaving big data analytics as a hot job. Along with the engineers, there is an essential element for managers and business analysts who can understand the analysis output and make decisions.
3. Wide Selection of Job Types and Technologies
Big Data is an umbrella term with many job titles and roles under it. Concerning the nature of job and domain, the choices are broad. The different job roles are offered to Big Data Professional, and the aspirant can choose from the fields and the characters as per his interest.
Also, there are many companies like Microsoft, IBM, Opera, Pentaho, Saffron, Platfora, Teradata, Oracle, etc. that have business requirements and opportunities for Big Data Professional. So, Big Data is a vast field proliferating.
4. Lucrative Salary Offers for Big Data Professional
Since the demand for big data experts is vast, the salary offered is often remarkably high. The opportunities available are across many domains, and the big multinational companies from all areas offer competitive salary packages to the employees. Thus, the Big Data field proves out to be an attractive one for the professionals looking for a sharp growth and learning curve in their careers.
The Career Trail of a Big Data Professional
Although the term Big Data is commonly used nowadays, there are many career paths available for Big Data professionals to stand out in the industries that can be explored as per one’s ability and interest.
The career path that Big Data professional can perform are:
- Data Scientist
- Big Data Engineer
- Big Data Analyst
- Data Visualization Developer
- Machine Learning Engineer
- Business Intelligence Engineer
- Business Analytics Specialist
- Machine Learning Scientist
1. Data Scientist
This is the most sought-after career path in Big Data careers. The Data Scientists are the people who use their technical and analytical skills to derive meaning from data. They are responsible for collecting, cleaning, and managing data.
2. Big Data Engineer
Big Data Engineer is a popular and more demanding career option. Data Engineers are the professionals responsible for creating 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 and analytics skills, Data Analyst finds out related information from the datasets. This is also the most demanding in Big Data career.
4. Data Visualization Developer
The data visualization developers have the ability to designing, conceptualizing, developing the graphics or data visualization, and supporting the data visualization activities. They should have strong technical skills for performing display using tools.
5. Machine Learning Engineer
Today, Machine Learning has become a significant part of Big Data Professional. Being an expert in Machine Learning responsible for building data analysis software to run the product code without human intervention.
6. Business Intelligence Engineer
Business Intelligence Engineer is in more need 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 maintaining the big data warehouses with the aid of Big Data tools and solving complex issues related to Big Data.
7. Business Analytics Specialist
Business Analytics Specialist is an expert in the Business Analytics field who aids in developing the scripts to test scripts and carrying out testing. They are also responsible for bringing up business research activities to analyze the issues for developing cost-effective solutions.
8. Machine Learning Scientist
Machine Learning Scientist work most clearly in the research and development department. They are responsible for developing the algorithms to use in adaptive systems, combining product recommendations, and forecasting the demand for the same.
Conclusion
Analytics, no matter how advanced they are, do not remove the need for human insights. On the opposite, there is a compelling demand for skilled people with the ability to interpret data, think from the business point of view, and come up with insights.
For this very reason, technology Big Data professionals with Analytics skills are finding themselves in high demand as businesses look to harness the power of Big Data. A Big Data professional with Analytical skills can master the shores of Big Data and become a vital asset to an organization, boosting the business and their career.
