EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login

Careers in Big Data

Home » Data Science » Data Science Tutorials » Big Data Tutorial » Careers in Big Data

Careers in Big Data

Careers in Big Data

Big data refers to data sets that are very large in volume and very complex in nature, because our traditional data storage and data processing systems are insufficient to meet their requirements. Data plays a key role in enhancing the business by analyzing the customer’s requirements and feedback, and as the customer base is increasing on a day-to-day basis, data is growing, Companies need to analyze the data to provide better services to customers and also to remain in competition with today’s rapidly changing world. Nowadays companies are in a race, making maximum use of useful data generated from various data sources using multiple tools and technologies which have also increased the need for professionals to process, analyze, store and transfer data. The requirement of big data professionals is increasing exponentially in the industries dealing with electronics, retails, insurance, finance, public sector, etc. In this article, we will see the various available careers in big data options.

Education to develop Careers in Big Data

Certifications: If we talk about courses then one must have at least a diploma in computer-related streams which gives you the basic understanding of computer architecture, operating systems, Networks, etc. and then you can opt for professional online/offline big data certifications provided by different institutes across the globe.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

Graduation: If you are school pass out and especially looking to make a career in big data, then at graduation level you must opt for computer engineering, which will give you a deeper understanding of programming languages and algorithms and how and when to use them. To become a good big data professional one must have a good logical, analytical and problem-solving skills to deal with various real-world data related challenges

Masters: Masters in big data will advance the careers in big data which adds a boom to your big data knowledge resulting in ending up with a good highly paid job.

Career Path in Role of Big Data

Data Analyst: The role of a data analyst is to use the various big data tools to process the data. Analysts mainly deal with structured, unstructured and semi-structured data and to process this data analyst interact with tools like a  hive, pig, NoSQL databases and frameworks like Hadoop, spark, etc. Their main responsibility is too big out of the hidden potential information from data to help companies to increase their revenue by making wise decisions. To be a data analyst one must have good problem solving and arithmetic skills. The kind of work analyst do is studying past trends, generating patterns, producing reports, etc.

Programmer: The role of the programmer is to write the code to perform repeated and conditional actions on the available data sets. To write good and efficient code one should have good knowledge of various programming languages and possess good analytical, mathematical, logical and statistical skills. The most common languages with which big data programmers deal with in day to day life are Shell scripting, Java, Python, R, etc. The data with which programmers code deals with is either stored in flat files or in databases so a programmer should also have a good understanding of file systems and databases.

Popular Course in this category
Hadoop Training Program (20 Courses, 14+ Projects, 4 Quizzes)20 Online Courses | 14 Hands-on Projects | 135+ Hours | Verifiable Certificate of Completion | Lifetime Access | 4 Quizzes with Solutions
4.5 (5,677 ratings)
Course Price

View Course

Related Courses
MapReduce Training (2 Courses, 4+ Projects)Splunk Training Program (4 Courses, 7+ Projects)Apache Pig Training (2 Courses, 4+ Projects)

Admin: The role of an admin is to take care of the infrastructure which manages the data and big data-related tools in the big data ecosystem. Their role also involves taking care of all the nodes along with their network configurations. Admins make sure of the high availability time of infrastructure to support big data operations. Installing various tools and managing hardware of clusters is also taken care of by admins. To be an admin one must have a good understanding of the file system, operating system, computer hardware, and networking.

Solution Architect:  The role of big data solution architect is to analyze the real-world problem and develop a proper strategy to solve the problem by utilizing their expertise and implementing it by using the power of the big data framework. The solution architect takes the decision on which tool/programming language to be used to achieve the solution. Solution architect, one must have good problem-solving skills along with the in-depth knowledge of frameworks and tools, their licensing cost and their alternative open source tools available to process big data.

Job Positions or Application Areas

Almost every domain requires big data to unlock the capability of the customer-driven economy. Big data has its deep roots in almost every industry, let’s see a few examples.

Banking Sector:  The banking sector is one of the major sectors in the world and uses big data in many ways like

  • Using big data banks detect real-time unauthorized transactions and block them.
  • Stores the information of millions of customers and merchants in big data systems.
  • Study the spending patterns of a customer by analyzing the data of his past expenditures and provides the offers of the customer’s interest, basically called Campaigning.

Healthcare in Big Data

  • It  the data of a patient-generated by various electronic medical devices like Electronic Health Records (EHRs), wearable sensors, etc. which helps the doctors to diagnose the disease and provide better treatment too.
  • It Analyzes the reviews of medicines provided by patients on various online forums to figure out the effectiveness of medicine and its side effects.
  • Careers in big data Maintaining patient-related data like treatment, surgery, medication, recovery time, etc. and if treatment results are positive, then giving the same treatment to patients with the same suffering.

Retail industry

  • Careers in Big data helps in deciding the price of newly launched products by analyzing the price of similar products already present in the market manufactured by their competitors.
  • Analyze the data to gather the information of products in demand, its review and its feedback from customers, which helps the industry to improve the faulty products.

Understand the real-time requirement of the customer and provide real-time suggestions which help to increase the business and also saves the time of the customer. Careers in Big data is almost in every industry and service providers around us like Railways, transport, educational institutes, energy, telecom, government, etc. with similar use cases.

Salary (US data and not India specific figures)

There is a huge requirement of big data professionals across the globe, this is the sector where the number of professionals is less than what is required resulting in making it one of the highly paid jobs. As per www.glassdoor.com, the salary provided by various organizations in the US is as follows:

J.P. Morgan –                                                                                     $93K – $100K

Cognizant Technology Solutions –                                                $92K – $98K

CSAA Insurance Group-                                                                 $133K – $144K

ZipRecruiter –                                                                                   $81K – $89K

The above salary figures are analyzed based on employees in these organizations. One cannot deny the fact that the salary of individual directly depends on factors like the degree (Bachelors/Masters), experience in the domain, command over technology, etc. also it is not very easy to go grab a good big data job until and unless one has a good grip on tools and technologies to understand and solve the real-world big data challenges.

Conclusion

As per Forbes, IBM predicts that the demand for big data professionals will increase by 28% by the year 2020. Another survey from Forbes states that 58% are adapting to big data analytics. The careers in big data are at the boom and the requirement of professionals is increasing at a good pace.

  • This is a good time to grab the golden opportunity to become a part of the big data wave.
  • The Careers in big data analytics have become the top priority project for a lot of organizations and the career is also not only limited to a type of organization and is independent of a domain of industry.
  • In the present scenario, big data professionals are paid huge bucks for the right set of skills. There are endless opportunities and scope for growth in big data. If one likes to play with data and maths then this can be among one of the best available options in making a career.

Recommended Articles

This has been a guide to Careers in Big Data. Here we have discussed the introduction, education, career path in Big Data, along with salary and career outlook in Big Data. You may also look at the following article to learn more –

  1. Boost Your Career Prospects
  2. Effective Ways to Be Proactive in Your Career
  3. 8 Steps to do Career Planning 
  4. 9 Most Popular Career Myths need to be Wiped Out

Hadoop Training Program (20 Courses, 14+ Projects)

20 Online Courses

14 Hands-on Projects

135+ Hours

Verifiable Certificate of Completion

Lifetime Access

4 Quizzes with Solutions

Learn More

1 Shares
Share
Tweet
Share
Primary Sidebar
Big Data Tutorial
  • Big Data Basics
    • Introduction To Big Data
    • What is Big Data
    • Big Data Architecture
    • Big data Concepts
    • Careers in Big Data
    • Is Big Data a Database
    • Trends Of Big Data
    • Big Data Technologies
    • Big Data Programming Languages
    • Challenges of Big Data Analytics
    • What is Big Data Technology
    • Most Critical Aspect of Big Data
    • What is Big data and Hadoop
    • What Is NOSQL
    • Big Data Techniques
    • Big Data in Banking
    • Big Data interview questions
  • Big data and analytics
    • What is Big data analytics
    • What is Data Analysis
    • What is Data Analyst
    • What is Data Analytics
    • Careers in Data Analytics
    • Data Analysis Process
    • Who is a Data Scientist
    • What is Data Visualization
    • Types of Data Visualization
    • Types of Qualitative Data
    • Secondary Data Analysis
    • Data Visualization Tools
    • Benefits of Data Visualization
    • Best Data Visualization Tools
    • What is a Data Scientist?
    • What do Data Scientists Do
    • Skills Required for Data Scientist
    • Data Scientist Skills
    • How to Become a Data Scientist
    • Data Analyst Associate
    • Big Data Analytics
    • Big Data Analytics Examples
    • Big Data Analytics Jobs
    • Customer Data
    • Big Data Analytics Salary
    • Big Data Analytics Software
    • Big Data Analytics Techniques
    • Big Data Analytics Tools
    • Data Analysis Techniques
    • Data Analysis Software
    • Data Quality Tools
    • Data Analysis Tools
    • Data Analysis Tools Research
    • Types of Data Analysis
    • Types of Quantitative Research
    • What is Qualitative Data Analysis
    • Free Data Analysis Tools
    • Data Analytics Trends in 2019
    • Types of Data Analysis Techniques
    • Data Analytics Interview Questions
    • Data Analyst Interview Questions
  • Statistical Analysis
    • Statistical Analysis
    • Statistical Analysis Types
    • Statistical Analysis Softwares
    • Free Statistical Analysis Software in the market
    • Types of Data in Statistics
    • Statistical Analysis Tools
    • Statistical Data Analysis Techniques
    • Statistical Analysis Methods
    • Exploratory Data Analysis
    • Statistical Analysis Regression

Related Courses

Hadoop Certification Training

MapReduce Training

Splunk Training Certification

Apache Pig Training

Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

© 2020 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you
Book Your One Instructor : One Learner Free Class

Let’s Get Started

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

Special Offer - Hadoop Training Program (20 Courses, 14+ Projects) Learn More