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A Career in Big Data – The Sky’s the Limit

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27th Jun, 2023
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A Career in Big Data – The Sky’s the Limit

A Career in Big Data offers massive growth opportunities where the sky’s the limit. The world is becoming digital at a breakneck pace, which means Big Data career opportunities will also increase.  Most major companies acknowledge the importance of Big Data as a way to acquire meaningful insights to make valuable decisions. 

Under Big Data, large amounts of data are collected to be used for analysis, prediction, and decision making. The demand for Big Data experts increases day by day. 

What is Big Data? 

Big Data can gather and store large volumes of data. It provides velocity to allow real-time data flow for quick processing. It gives support to different types of data formats, whether it is structured, unstructured, or semi-structured. It doesn’t matter if it is represented in alphabetic, numeric, alphanumeric, or even visual formats.

It can be collected from multiple heterogeneous sources. Big data analytics is versatile. It can deal with all complexities present in data and deliver the best results by using the right combination of Artificial Intelligence, Machine learning, IoT applications, and other tools.

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Why Choose Big Data as a Career?

According to Indeed Hiring Lab, January 2019, Data Science or Big Data Career-related posting has increased by 256% compared to December 2013. The demand for Big Data experts is already high. This demand will increase tremendously in the future too. However, the growth rate of skilled workers in the  Big Data field is slow. 

Based on the LinkedIn Workforce Report Published on Aug 10, 2018, there was a tremendous growth rate in demand for Data Scientists from 2015 to 2018.

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Some of the main reasons for selecting Big data as a career are:  


Most companies want Big Data professionals to handle vast amounts of data and to deal with competitors. This demand gains momentum every day.

The shortfall of Big Data Professionals 

The number of Big Data professionals is very less in comparison to demand. Hence, the chances of bright career are higher in this field.

Availability of Various Roles

Big data jobs consist of different categories in the job title. 

Big data has three core analytical domains:

  • Futuristic Analytics
  • Rule-based Analytics
  • Illustrative Analytics

Versatile roles and responsibilities are offered to big data professionals. They can choose from it based on their preference and interest.

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High Rewards

The requirement for big data professionals is increasing. So, companies are offering excellent salary packages to candidates. That’s why a career in Big Data is considered a fruitful one for working professionals searching for significant career progression.

Thus, you should make the best out of career opportunities in Big Data.

Career In Big Data: Skillset & Educational Background Requirement

It’s important to remember that there is no formal certificate or degree related to big data when discussing the educational trajectory and competencies needed to become a professional in it. Even so, there are specific abilities that could determine your career in big data

You can provide the ideal groundwork for your Big Data job path by earning a bachelor’s or master’s degree in any mathematics-focused discipline. 

Otherwise, if you are interested in this field but lack the necessary expertise, acquiring the necessary skills via well-designed IT programs and passing the necessary certification examinations would enable you to work in the Big Data industry like a pro.

Experts suggest building and enhancing your Big Data skills over time to become industry-ready. Start off with Hadoop, which is a popular open-source framework used to store data and run applications. Another skill to acquire is SQL querying and database. 

While some companies go for basic SQL, others prefer advanced SQL skills in a big data professional. Lastly, you should also have proper data mining skills, which means the ability to examine vast database for producing new insights.  

Is Big Data a Low-Risk Career?

Even in the current COVID-19 pandemic situation where most people worldwide lost their jobs or are at high risk of losing their jobs, demand for big data professionals is increasing exponentially. All countries are trying to analyze data to discover the facts and make predictions.

Most fields including medical science are now severely dependent on data to find new updates with real-time conditions and formulate solutions. Only with the help of big data analytics and tools can scientists aggregate and synthesize data at the global level in this pandemic. Big Data helps to deal with this crisis and mitigate its impact.

Not only does the healthcare or medical sector benefit from big data capabilities. Almost all sectors and industries take advantage of Big Data. Therefore, Big Data career opportunities are present in all sectors.

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Why are Industries Looking at Big Data? 

As a large amount of data is generated from different sources, industries deal with massive data sets, which are spread in a very scattered pattern. It’s challenging for them to discover meaningful findings that can help the business and fulfill customer demands. In such a scenario, big data helps them to work effectively and efficiently and face the challenges coming from competitors. The support of new technologies and tools combined with AI, machine learning (ML), and deep learning (DL) give the field a unique edge.

Previously, due to limited storage features, upholding data was more problematic than advantageous to companies. Likewise, stemming out meaningful insights from data manually was also very complicated. AI and Data Science technologies have shaped new prospects to use the possibility of big data analytics worldwide more effectively.

Big data, analyzing, and processing massive datasets has become easy, effective,  and fast. That’s why most companies have started incorporating data into their major functions. The evolution of the digital economy has begun.

The introduction of Big Data is likely to increase the variety and volume of data. Based on the McKinsey report, the amount of data produced will double every three years. This has created a need for data analytics techniques and skills across all industries. To do so,  companies need to involve Big Data experts.

This is the perfect time to join the Big data movement and learn Big Data as all major companies are heading towards Big Data.

Big Data Career Opportunities and Roles

There are various roles on offer in the field of Big Data.  Your choice should be based on your interest and skills. Remember, you need passion and curiosity to become a Big Data Professional.


Big Data Career Roadmap Points to the Following Roles

  1. Data Scientist
  2. Data Analyst
  3. Big Data Architect
  4. Statistician
  5. Big Data Engineer
  6. Business Analyst
  7. Machine Learning Engineer
  8. Data Engineer
  9. Machine Learning Scientist
  10. Business Analytics Specialist
  11. Data Visualization Developer
  12. Business Intelligence (BI) Engineer
  13. BI Solutions Architect
  14. BI Specialist
  15. Analytics Manager

Data Scientist:

Data scientist, one of the high-paying big data jobs, requires you to possess strong technical and analytical skills. By gleaning valuable insights from the data they collect from various sources, data scientists add value to the information. 

Data Analyst: 

Data Analysts extract relevant and crucial information from datasets by using analytics skills and big data technology solutions like Pig, Hive, Hadoop, etc. 

Data Architect:

Building and maintaining the aforementioned databases, data architects also create the frameworks for complicated data frameworks. They are entrusted with creating plans, updating executives on difficulties, and conveying plans for every topic area of the business data model. 

Big Data Engineer:

Big data engineer jobs are on the rise, and this career option is indeed challenging as well as rewarding. The experts tasked with constructing the designs produced by Solution Architects are known as Data Engineers. 

Business Intelligence Analyst:

Big data warehouse management and tackling the problems associated with it are the purview of business intelligence engineers. Online analytical processing (OLAP), data cube technology, and database query competence are all prerequisites for business intelligence. 

Machine Learning Engineer:

Machine learning is now an essential component of big data. As a machine learning expert, you hold the charge of developing the data analysis software that runs the product code automatically.

Data Visualization Developer: 

Development, design, and delivery of production support for data visualizations that will be utilized throughout an enterprise are the responsibilities of a data visualization developer and analyst. These developers use any visual representation of data to convey the meaning of the data.

Business Analytics Specialist: 

Business analytics specialists support some of the development projects as well as numerous testing operations. They could also work on research projects that help them comprehend business needs and problems and create appropriate scripts. 

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The Need for Certification in Big Data 

With the increase in career opportunities in Big Data or Data Science, people are looking for a perfect place from where they can gain skills and begin a successful career in this upcoming field.  Employers are looking for such expertise from applicants that can not be fulfilled by doing boot camps or short term courses. 

It’s not enough to handle complex tasks, decision making, and future forecasting with the help of such things. The right kind of certification in Big Data can increase the chance to acquire the best Big Data career opportunities.


upGrad- The Start of your Journey in Big Data

We have trained numerous learners to date. Currently, more than 20,000 active learners are benefitting from our services and program. We are fortunate to have more than 300 hiring partners that provide the best Big Data career opportunities. Our learners witness approximately a 52% average salary hike.

upGrad is the best place to undertake a course in Big Data.

This is because: 

Best Learning Partners

Our programs are some of the best in the world because we are working rigorously to deliver the best learning and teaching practices. Some of our learning partners are the International Institute of Information Technology-Bangalore, NMIMS Global Access School for Continuing Education, Indian Institute of Technology-Madras, Institute of ManagementTechnology-Ghaziabad(Delhi), MICA, Liverpool John Moores University, Duke Corporate Education, and Deakin University.

Career Fairs and Hackathons

Along with world-class skill enhancement, we also provide career-building support by organizing recruitment drives.  Our learners have a chance to get a job in the best industries with multiple opportunities. We initiate hackathons that make learners industry-ready.

Career Mentors

We discover the best career opportunity for learners. We mentor them to achieve their goals. Also, we prepare them from the beginning to the end of the job-hunting journey.

Mentoring by Industry

We offer guidance from industry experts for individuals. We conduct sessions for you to land a  job.

Our programs help to enhance and boost the skillset, knowledge, and calibre by offering top-notch courses and certification in collaboration with topmost universities, institutions, companies, to make your career in Big Data.

Learn: How to Become a Big Data Engineer

upGrad offers the following courses in Big Data

PG Diploma in Data Science

Predictive Analytics using Python, Machine Learning, Big Data, Natural Language Processing, Data Visualization.

PG Certification-Data Science

Machine Learning, Data Visualisation, Statistics, Predictive Analytics using Python, MySQL, and many more.

Masters in Data Science

Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, and many more.

Key Features of upGrad Programs

  • Designed for Working Professionals
  •  IIIT Bangalore Alumni Status
  •  14 Programming Tools & Languages
  •  60+ Industry Projects
  •  NASSCOM validated 1st PG Diploma
  •  360 Degree of Career Support
  •  One-on-One with Industry Mentors
  •  Dedicated Student Mentor
  •  Job Assistance with Top Firms
  •  No Cost EMI Option

Wrapping up

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Big Data is a growing field. It is gaining prominence with its potential application in many industries. Thus, a career in Big Data is the perfect choice for individuals looking for a long and stable career with high rewards. At upGrad, we offer various courses to enable you to achieve your dreams of succeeding in Big Data. So, make the most of Big Data career opportunities and look forward to a bright career.   

If you are interested to know more about Big Data, check out our Advanced Certificate Programme in Big Data from IIIT Bangalore.

Learn Software Development Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career.


Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.
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Frequently Asked Questions (FAQs)

1Who is a Big Data Developer?

Professionals who are experts in fundamental scripting languages and are in charge of designing and developing Big Data applications are known as Big Data developers. They work with data that doesn't fit into a dedicated server and can't be processed in a typical way. The job resembles software development in specific ways. To meet an organisation's enormous data demands, most Big Data developers work collaboratively alongside engineers and scientists with Hadoop. They are in charge of Big Data application design, development, installation, configuration, and maintenance, along with ensuring the security of the tonnes of data stored in their databases. They also provide robust and high-performance online services for data tracking, analysis, and discovery of meaningful insights from large data sets.

2What is the average salary of a Big Data developer in India?

Big Data is a prospering technology with a lot of scope for its professionals. The average salary of Big Data developers in India is around ₹7,00,000 per year. The salaries of most data developers range from ₹4,00,000 to ₹15,00,000 per year. The average salary of Big Data developers also varies according to their years of expertise. For professionals with 2-3 years of experience, their average salary is ₹5,70,000 per year. Big Data development professionals with 3-4 years of experience are ₹6,50,000 per year. The average salary of Big Data developers with experience of 6-7 years and 7-8 years is ₹9,40,000 and ₹10,10,000 per year, respectively.

3What are the skills required to be a Big Data Developer?

As Big Data development is a burgeoning industry with a lot of room for advancement, Big Data developers have a bright future. You must learn a few skills if you want to be a good Big Data Developer. To begin, these developers must have a solid understanding of programming languages such as Java, JS, Node.JS, and other object-oriented languages. A Big Data developer should also be familiar with Hadoop and its many modules, such as Flume, Common, Hive, Hbase, Pig, Impala, Spark, Storm, and others. Finally, Big Data developers should have a strong knowledge of multi-threading and concurrency ideas.

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