Top 10 In-Demand Big Data Skills To Land ‘Big’ Data Jobs in 2020

Big Data has become the buzzword today in the world of technology. All top business strategic decisions are taken based on Big Data and Data Sciences technologies. This has contributed to increasing demand for Big Data engineers in India and is expected to soar up in the coming years.  

There has been tremendous growth in the tools and techniques around Big Data and other related fields. Big Data has become the answer to using and analysing real-time data. In today’s competitive business work, no company can survive without Big Data.

Top Big Data Skills

1. Analytical Skills

Analytical skills are one of the most prominent Big Data Skills required to become the right expert in Big Data. To Understand the complex data, One should have useful mathematics and specific science skills in Big Data. Analytics tools in Big Data can help one to learn the analytical skills required to solve the problem in Big Data.

2. Data Visualization Skills

An individual who wants to become a Big Data professional should work on their Data Visualization Skills. Data has to be adequately presented to convey the specific message. This makes visualization skills are essential in this area.

One can start by learning the Data Visualization options in the Big Data Tools and software to improve their Data Visualization skills. It will also help them to increase their imagination and creativity, which is a handy skill in the Big Data field. The ability to interpret the data visually is a must for data professionals.

3. Familiarity with Business Domain and Big Data Tools

Insights from massive datasets are derived and analyzed by using Big data tools. To understand the data in a better way by Big Data professionals, they will need to become more familiar with the business domain, especially with the business domain of the data they are working on.

4. Skills of Programming

Having knowledge and expertise in Scala, C, Python, Java and many more programming languages are added advantages to Big Data Professional. There is a high demand for programmers who are experienced in Data analytics.

To become an excellent Big Data Professional, one should also have good knowledge of fundamentals of Algorithms, Data Structures and Object-Oriented Languages. In Big Data Market, a professional should be able to conduct and code Quantitative and Statistical Analysis.

One should also have a sound knowledge of mathematics and logical thinking. Big Data Professional should have familiarity with sorting of data types, algorithms and many more. Database skills are required to deal with a significantly massive volume of data. One will grow very far if they have an excellent technical and analytical perspective.

5. Problem Solving Skills

The ability to solve a problem can go a long way in the field of Big Data. Big Data is considered to be a problem because of its unstructured data in nature. The one who has an interest in solving problems is the best person to work in this field of Big Data. Their creativity will help them to come out with a better solution to a problem. Knowledge and skills are only good up to a limit. Creativity and problem-solving skills are even more essential to become a competent professional in Big Data.

6. SQL – Structured Query Language

In this era of Big Data, SQL work like a base. Structured Query Language is a data centred language. It will be beneficial for a programmer while working on Big data technologies such as NoSQL to know SQL.

7. Skills of Data Mining

Experienced Data mining professionals are in high demand. One should gain skills and experiences in technologies and tools of data mining to grow in their careers. Professionals should develop most-sought data mining skills by learning from top data mining tools such as KNIME, Apache Mahout, Rapid Miner and many more.

8. Familiarity with Technologies

Professionals of Big Data Field should be familiar with a range of technologies and tools that are used by the Big Data Industry. Big Data tools help in conducting research analysis and to conclude.

It is always better to work with a maximum number of big data tools and technologies such as Scala, Hadoop, Linux, MatLab, R, SAS, SQL, Excel, SPSS and many more. There is a higher demand for professional have excellent skills and knowledge in programming and statistics.

9. Familiarity With Public Cloud and Hybrid Clouds

Most Big Data teams will use a cloud set up to store data and ensure the high availability of Data. organisations prefer cloud storage as it is cheaper to store large volumes of data when compared to building an in-house storage infrastructures. Many organizations even have a hybrid cloud implementation where in data can be stored in-house or on public cloud as per the requirements and organisation policies.

Some of the public clouds that one must know are Amazon Web Services (AWS), Microsoft Azure, Alibaba Cloud etc. The in-house cloud technologies include OpenStack, Vagrant, Openshift, Docker, Kubernetes etc.

10. Skills from Hands-on experience

An aspiring Big Data Professional should gain hands-on experience to learn the Big data tools. One can also go for short-term courses to learn the technology faster. If one has good knowledge about newer technologies, then it will help them in understanding the data better by using modern tools. Their interaction with the data will improve give them an edge over the others by bringing out better results.

Conclusion

If you have stumbled upon this article, probably you are looking for a career in Big Data. Take it from us that Big Data is one of the most rewarding career options today. The top skills required by Big Data professionals are discussed here. Sharpen your skills according to what’s listed out here and be sure to acquire relevant certifications to advance in your career.

If you are interested to know more about Big Data, check out our PG Diploma in Software Development Specialization in Big Data program which is designed for working professionals and provides 7+ case studies & projects, covers 14 programming languages & tools, practical hands-on workshops, more than 400 hours of rigorous learning & job placement assistance with top firms.

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