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Top 5 Big Data Job Roles 

Career opportunities in Big Data

Are you someone looking for a career in Big Data? Of course, but you are also confused about its worth and job prospects. Don’t worry; you are not alone; many people look to explore the Big Data industry with little or no clarity- after all, big data is today’s most popular and promising stream!

As per Analytics Insight, India’s Big Data sector will account for 32% of the global market and US$20 billion by 2026, up from US$6.9 billion now. The Monster Trends Annual Report predicts that big data will be the most in-demand position this year when it comes to career trends. If you’re wondering what does a Big Data expert do? The answer is that they collect data from a range of channels to analyse and interpret it to derive meaningful insights for businesses. They illustrate and explain their results by generating detailed reports, infographics, statistics, charts, etc.

 Why should you pursue Big Data? Is it worth it to invest in big data?

The simple answer to this is- Yes. Here are five compelling reasons to pursue a career in big data-

  • There is a growing demand for the field, so don’t expect it to become extinct soon.
  • More vacancies, fewer competencies. So, immense opportunities are awaiting you.
  • Lucrative career, you can earn in 6 digits in no time.
  • Learning big data is not a big deal today. Numerous courses across diverse platforms make it easily accessible and quick to learn.
  • The field is exciting; you will never be bored of your 9-5 job!

What are the job opportunities for big data? Take a look at the 5 high paying jobs in Big Data!

High paying jobs in Big Data

Businessman in front of a growing chart during a meeting

Developing big data skills can help you land a long-term, intriguing, and well-paid career. Recent grads seek employment quickly, in firms they like and in the industries they want to work.

What are the best Big Data careers? Here is a list of the top 5 big data jobs-

1. Big Data Engineer

A big data engineer is an IT expert who designs, develops, tests, and maintains complicated data processing systems that deal with massive data volumes. They are the ones who collect data from varied resources and organise it into sets for data scientists and data analysts. Big data engineers are an amalgamation of proficient software developers, efficient coders, extensive data science knowledge, and, yes, passionate engineers. It is a fantastic choice for anyone interested in pursuing a career in the Big Data industry. As per Ambition Box, a data engineer’s average annual salary range in India is ₹ 8.2 LPA.

2. Big Data Architect

Data architects develop the layouts that businesses require for their data management systems, similar to how conventional architects design building structures. A big data architect is needed to tackle large-scale challenges by analysing data and employing Hadoop- a data technology. A data architect ought to be a fantastic team leader who can mentor and instruct others. They must possess excellent communication skills because they will be working with several teams across diverse departments. They are expected to establish ties with several businesses and partners. A big data architect’s average annual salary range in India is ₹ 23 LPA.

3. Database Manager

If you are good with secrets, a career as a database manager is for you! Database managers create and monitor databases for businesses. They design data storage and retrieval systems, debug database problems, and execute database recovery and security methods. They also keep an eye on database teams’ regular activity. By establishing security protocols, database managers safeguard a company’s data confidentiality. It could be an appropriate career option if you are interested in protecting a firm’s integrity and administering its database. A database manager’s average annual salary range is around ₹ 15.0 LPA.

4. Data Scientist

Data scientists collect and analyse enormous sets of structured and unstructured data. They interpret the outcomes of data analysis, processing, and modelling to generate concrete strategies for commercial and organisational needs. A data scientist is a fusion of a statistician, a software expert, and a market observer. Since they operate in economic and technical areas, they’re in high demand and well-compensated. An average annual salary range of a data scientist is ₹ 11.0 LPA.

5. Data Modeller

In the highly demanding field of data science for database development, data modelling has surfaced as one of the significant areas of expertise. Data modelling assesses and quantifies how a company handles data streams in and out of its database management system. Data modelling is among the most crucial components of a Big Data initiative because it is accountable for establishing the infrastructure required for the data. It organises the area in which the data exists and considers elements connected to the context in which it exists. In a nutshell, data modelling is the process of managing data within a company. It necessitates a unique set of skills, including conceptual design, abstract thinking, user communication, and internal communication. An annual salary range for a data modeller is ₹ 14.9 LPA.

When you start a career as a big data expert, you’ll have to work with various business areas while combining a variety of technological skills. You’ll be in charge of maintaining the data’s integrity and reliability. To evaluate the findings, it’s necessary to have domain expertise. The need for big data in India is constantly high, leading to a steady ascending career path and attractive compensation from employers. So, what are you waiting for? Learn the skillsets that interest you and get started with big data today!

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Romina Gopalan is a top-notch upskilling advisor & content writer. Her areas of expertise include Digital Marketing, Data Sciences, IoT, RPA, and UX/UI writing. Her sharp research and writing skills allow her to identify futuristic opportunities. Thus, helping you understand how you can leverage expertise in any domain.

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