TOP 12 INTERESTING CAREERS TO EXPLORE IN – BIG DATA

top 12 big data careers

DATA SCIENTIST

These people use their analytical and technical capabilities to extract meaningful insights from data.

DATA ENGINEER

They ensure uninterrupted flow of data between servers and applications and are also responsible for data architecture.

BIG DATA ENGINEER

Big Data Engineers build the designs created by solutions architects. They develop, maintain, test and evaluate big data solutions within organizations.

MACHINE LEARNING SCIENTIST

They work in the research and development of algorithms that are used in adaptive systems. They build methods for predicting product suggestions and demand forecasting, and explore Big Data to automatically extract patterns.

BUSINESS ANALYTICS SPECIALIST

A business analytics specialist supports various development initiatives, assists in testing activities and in the development of test scripts, performing research in order to understand business issues, and developing practical cost-effective solutions to problems.

DATA VISUALIZATION DEVELOPER

They design, develop and provide production support of interactive data visualizations used across the enterprise. They possess an artistic mind that conceptualizes, design, and develop reusable graphic/data visualizations and uses strong technical knowledge for implementing these visualizations using the latest technologies.

BUSINESS INTELLIGENCE (BI) ENGINEER

They have data analysis expertise and the experience of setting up reporting tools, querying and maintaining data warehouses, They are hands-on with big data and take a data driven approach to solving complex problems.

BI SOLUTION ARCHITECT

They come up with solutions quickly to help businesses in making time sensitive decisions, have strong communication & analytical skills, passion for data visualization, and a drive for excellence and self motivation.

BI SPECIALIST

They are responsible for supporting an enterprise wide business intelligence framework. This position requires critical thinking, attention to detail and effective communication skills

ANALYTICS MANAGER

An analytics manager is responsible for configuration, design, implementation and support of data analysis solution or BI tool. They are specifically required to analyze huge quantities of information gathered through transactional activity.

MACHINE LEARNING ENGINEER

Machine Learning engineer’s final “output” is the working software, and their “audience” for this output consists of other software components that run autonomously with minimal human supervision. The decisions are made by machines and they affect how a product or service behaves.

STATISTICIAN

They gather numerical data and then display it, and help companies to make sense of quantitative data and to spot trends and make predictions.

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