How to Build a Successful Career in Big Data?

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As many companies are now adopting a data-driven culture, the data industry continues to grow with an estimated value of $77 billion by 2023. This anticipated rise has considerably increased the demand for big data certified professionals like Data Scientists, Big Data Developers, Administrators, Architects, and Analysts. Positions like these are being required in various sectors other than IT and have also become one of the highest-paying jobs.

Due to this huge demand for such professionals, the term “Big Data” has been creating a buzz in the market for the past 2 to 3 years. Big Data has achieved a pivotal place in the market as it is offering so many profiles to choose from and attracting huge employees. However, though many computer science graduates are now undergoing Big Data Training, there is still a huge shortage of big data talent that needs to be filled quickly.

Candidates who are interested in a Big Data career should take a look at the article below, where we have explained the eligibility requirements, certifications available, and the jobs that will help you in building your career.

What is Big Data?

  • Big data is primarily the collection of large data sets which are huge in volume and are growing exponentially.
  • This large size and complexity of data make it beyond the capability of traditional data management tools to process and manage.
  • Examples of Big data are the data generated on social media which is several petabytes per hour, or the data generated by the engineer during its flight time.

There are various career options available in Big Data. The requirements to build a career in any of the job roles in Big Data have been explained below.

Big Data Educational Requirements

  • There are no such specific educational requirements to become a big data professional.
  • Most of the professionals working in the industry hold a bachelor’s or a master’s degree in the areas like science, mathematics, statistics, engineering, economics, and finance.
  • Usually a bachelor’s degree is sufficient and it doesn’t necessarily need to be in a data analytics field.
  • Some jobs require a master’s degree, specifically managerial positions.
  • Big data comprises fields like applied mathematics, computer science, and multiple statistical techniques. If one does not have a degree in these following areas, then they can take a well-designed IT course and certification exams to learn the necessary skills and techniques.

Big Data Certifications

A certification course can help one boost their career to a greater height in the professional hierarchy. It will also provide better chances to get interview calls. Also, certified data professionals have a chance to earn a higher salary than the ones without a certification. Some of the certifications that one should surely look for are mentioned below.

IBM Certified Data Architect

  • This certification tests the knowledge of certain technologies that are highly popular in big data.
  • It also gives you an understanding of the relationship between the technologies and how they are used to effectively solve big data business problems.

IBM Certified Data Engineer

  • This certification is especially for those looking to build a career as a Big Data Engineer.
  • It will test the skills to convert the architect’s big data version and blueprint into a big data reality.

Hadoop Administration

  • This certification will train the candidates on skills required to manage and maintain Hadoop clusters.
  • It will also test one’s ability to work on areas like Hadoop architecture, its components, and monitoring and troubleshooting a Hadoop cluster. Get future-ready, understand Big data using Big Data Hadoop Certification in Manila.

Big Data Skills

Before entering the workforce, it is better to spend some time building Big Data skills like programming, data wiring, computational frameworks, statistics, business knowledge, data visualization, etc. More details related to these skills are given below.

  • Programming Skills – Having skills in Python, Java, Scala, C, etc. is highly required by programmers who are experienced in Data analytics.
  • Database Skills – This skill is highly required to deal with a significantly massive volume of data.
  • Hadoop – It is an open-source framework used for running applications and storing data.
  • SQL – It is a data-centered language used as a base. It is useful for a programmer while working on Big Data technologies like NoSQL.
  • Data Mining – It is a process of examining huge databases for generating meaningful information.
  • Statistics – Data analysis requires a good knowledge of statistics and linear algebra. It is important for one to have an understanding of concepts like summary statistics, probability distribution, random variables, and hypothesis testing.
  • Data Visualization – It is an important skill required in big data to expose the hidden facts in the data in a form that could be easily understood.

Career Options in Big Data

Big Data offers a variety of career options to choose from. Some of the big data career options have been explained below.

Data Scientist

  • The job of a data scientist is to extract meaningful insights out of the data fetched from different sources.
  • They should have analytics and technical capabilities to perform these tasks

Average Salary: ₹8,60,454 per annum [Source:Payscale]

Big Data Engineer

  • The work of a big data engineer is to build designs proposed by solutions architects.
  • They focus on developing, testing, maintaining, and implementing complex big data projects.

Average Salary: ₹8,57,157 per annum [Source:Payscale]

Big Data Architect

  • They are the link between the organization and the data engineers.
  • They address the major data problems and describe the structure and behavior of a big data solution using the technology they specialize in.

Average Salary: ₹20,34,133 per annum [Source:Payscale]

Business Analytics Specialist

  • They understand the business needs and issues and come up with unique cost-effective solutions.
  • They are involved in testing activities and development initiatives.

Average Salary: ₹15,00,000 per annum [Source: Glassdoor]

Data Visualization Developer

They develop, design, and deliver production support for data visualization that is used across an enterprise.

Average Salary: ₹11,00,000 per annum [Source: Glassdoor]

The above-mentioned requirements are basic and anyone entering the big data industry should possess them. However, these will not be sufficient to make you stand apart from the crowd, hence, it is important to go for certifications too. There are various certified training courses offered by IBM, Google, AWS, etc. which you can pursue to launch your career in the Big Data industry.