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salary offered is often very high.  The opportunities available are across many domains, and the big multinational companies from all domains 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 career.

What are the Different Big Data Careers in the Market?

Though there is a general big data professional term used commonly, there are many big data careers that one can explore as per the capability and interest. These big data careers are as follows:

1. Big Data Engineer

Big data engineers are the professionals who are responsible for building the designs made by solution architects. It is one of the well-known and demanding big data careers. It is the most common role in the big data world. A big data engineer is the one who develops, tests, maintains, and manages big data solutions in the organizations.

2. Data Scientist

One of the most sought-after among available big data careers, the data scientists are the people who use the analytical and technical skills for the extraction of insights from the big data. They turn the structured and unstructured data into meaningful insights.

3. Big Data Analyst

This is the most sought-after role in the big data field, and the talent is usually scarce for this. The big data analyst requires the fundamental knowledge of the big data technologies like Hadoop, Hive, Pig, etc. 

For this job role, professionals must have an analytics skill along with set basic statistics and algorithm knowledge to find relevant information from the datasets. Big data analyst also carries domain knowledge as it is really important for the analysis of data.

4. Data Visualization Developer

This role involves the responsibilities of designing, developing, and supporting the data visualization activities. The data visualization developers are responsible to design, conceptualize, and develop graphic or data visualizations. They have the strong technical skills for using relevant technologies to implement the visualization.

5. Machine Learning Engineer

Machine learning is an important part of big data field today. They are responsible for developing data analysis software. The analytic software helps to run the components autonomously without human supervision.

6. Business Intelligence Engineer

BI Engineers carry the expertise of the reporting tools used to query and manage the data warehouses. The BI engineers have hands-on experience with big data to solve complex issues. 

7. Business Analytics Specialist

This role is for the special expert in the field of business analytics who helps in the development of scripts, to test scripts, and perform testing. They even take up the business research activities to understand and analyze the issues to develop cost-effective solutions.

8. Machine Learning Scientist

The machine learning scientist is the role for the people who work in research and development department. They work on making algorithms to use in adaptive systems. They work on product suggestions and forecast the demand.

The Future of Big Data: 10 Predictions You Should Be Aware Of
https://www.smartdatacollective.com/future-big-data-predictions/

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