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10 best paying programming languages
by Apponix Sanskriti
Posted: Sep 24, 2020
Posted: Sep 24, 2020
The IT industry is always evolving and developing. There is no pause or stop for its growth and progress. And thus, it always looks for skilled programmers. The demand employers are increasing. The industry is looking for skilled programmers who can fit in these demands and stabilize the workflow.
In this blog, we will see the top 10 in-demand programming languages that will get you jobs and get amazing paychecks.
- JAVA:- It is an open-source language that is maintained by Oracle corporations. It can run in any device and that’s why it is used for all kinds of computer programming, App development, and Smart TVs. This language is used in the market since 1990. All medium to large scale organizations depends upon its applications to run their businesses. People who are good in this language can go for titles like Software engineers, App developers, and Solutions developers. Many popular apps such as Angry Birds and Temple Run are coded in this language.
- PYTHON:- It is one of the best programming languages to learn and implement. Many popular applications like YouTube, Instagram, and Reddit work on this language. Google is the major recruiter of the Python programmers.
- JAVASCRIPT:- Many people think that Java and JavaScript are the same. But it is different. This language is perfect for those who are interested in learning and growing in web design. You can enhance your web pages tremendously using this language. The language enjoys huge community and is in high demand. Today, most of the websites on the web uses JavaScript to add impetus to their content.
- PERL:- It is a high-level programming language. It borrows its features from C, shell script, AWK, and sed. Perl is also known as the CGI language. It is used in graphical programming, Network programming, bioinformatics, and many other programs. It carries a lot of weight and it is used by many organizations all over the world. The demand for Perl developers is constant in the market.
- PEGA:- It is specialized in developing customer relation management systems and business process management. There is a tremendous boost in its global use since 2010. The demand for skilled programmers who can operate Pega is high in the market. When Big data and Cloud Computing occupies an important place in the industry, knowing Pega would be great to see in your resume.
- DEVOPS:- The job opportunities in DevOps are higher since 2015. Almost 25% of the top 2000 organizations in the world work with DevOps strategies. When you become quite knowledgeable in DevOps, you can get titles like automation engineer, Security engineer, release manager, and DevOps architect.
- CLOUD COMPUTING:- It has been a boon to aspiring individuals. About 22 million jobs were created in Cloud Computing. Giants like Amazon, Oracle, IBM, and Microsoft are a few among the top recruiters in this field. Professionals who are skilled in Cloud Computing can have titles like Security manager, Data manager, and Enterprise architect.
- BIG DATA:- Today all the huge organizations are looking for data scientists, data managers, and Database technology engineers to run their operations. So it is definitely essential to be knowledgeable about big data as today’s world is all about data and analysis of data. According to reports, data analysis is the next big thing and numerous job opportunities will be opened.
- BUSINESS INTELLIGENCE:- Some people argue that it is a part of big data. But Business Intelligence is based on data analysis and thorough data mining. One should know about SQL to shine in this field. There will be an abundance of job opportunities in this field in the coming years.
- DATA MINING:- Today’s world is all about data and about 2.5 quintillion data is produced every day. All of them are not relevant and important. It is the time when data mining comes to play. They play a pivotal role in understanding and defining the data. Every huge organization like Amazon, Apple, and Microsoft have job opportunities for data miners to work for their organization. This field has massive potential in the future.