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How To Become An Apache Hadoop Developer

Today, with the growth of technologies and infrastructures such as social networks and the advent of concepts such as the Semantic Web, the volume of data and processes in large systems has increased dramatically.

For example, a search engine provides results related to user-entered dialogs in a fraction of a second. The results are based on the efficient analysis performed on the bulk of the information collected from the web.
 Therefore, it is important to have a mechanism for processing large amounts of information at an affordable cost. Apache Hadoop is commonly used to accomplish such a goal.

A report released by Marketwatch shows that the Hadoop market will grow significantly between 2019 and 2025.

What is certain is the fact that big data is expanding, so the demand for Hadoop is also increasing, which means more jobs for Hadoop-related businesses, especially Hadoop developers.

Now the main question is how can a person familiar with the field of information technology become a Hadoop developer? Fortunately, there are definite answers to this question.

In this article, you will learn everything you need to know about learning Hadoop to get the position of Hadoop Developer.

In addition, if you are already a developer and want to make a major change in your current career path, you have the opportunity to secure your career advancement by adding a Hadoop Certificate of Acquisition to your resume.

What is Hadoop?

Apache Hadoop is a framework that enables distributed processing of large data sets through computer clusters using simple programming models.

Hadoop is designed to support one server to thousands of machines, each with its own local computing and storage. Apache Hadoop is a collection of open-source application software designed to process issues involving large volumes of data and related computations over a network of computers.

In other words, Hadoop is a great tool for fully managing data from big data and creating practical strategies and solutions based on this data.

What does a Hadoop developer do?

A Hadoop Developer is responsible for programming and managing Hadoop applications concerning big data. This position can be compared to a similar position with a software developer. Other job positions typically associated with a Hadoop developer include a big data developer, a big data engineer, a Hadoop architect, and a Hadoop engineer.

What skills does a Hadoop developer need?

A successful Hadoop developer has mastered many specific skills, although different businesses and organizations may place more emphasis on one or more of these skills. The following is a list of these skills that a Hadoop developer should acquire.

 Note that you do not need to have complete mastery of each of these skills.

  •  Hadoop basic knowledge and related components (HBase, Pig, Hive, Sqoop, Flume, Oozie, etc.)
  •  Get acquainted (gain, obtain) with present-day techniques that came from Java, JS, Node.js, and OOAD.
  •  Inherent talent for writing high-performance, highly reliable, and maintainable code.
  •  Ability to write MapReduce tasks and Pig Latin scripts
  •  Extensive knowledge of working with SQL language, database structure, theories, principles, and practical methods of working with them
  •  Ability to work with HiveQL
  • Has excellent analytical and problem-solving skills, especially in the big data field
  •  Sufficient skills in multi-threading and concurrency concepts

What are the responsibilities of a Hadoop developer?

After learning the skills that a Hadoop developer should have, we now need to know what they do.

 Organizations expect a Hadoop developer to have the following skills:

  • Responsible for the design, development, architecture, and documentation of all Hadoop applications.
  • Assign installation, configuration, and support to Hadoop.
  •  Manage tasks related to Hadoop using a specific schedule.
  •  Write MapReduce code for Hadoop clusters and help build new Hadoop clusters.
  •  Turn complex techniques and performance requirements into precise designs.
  •  Design web applications to quickly query and track data.
  •  Propose the best solutions and standards for the organization and then delegate them to the operational unit.
  •  Perform software prototype tests and monitor the implementation of ideas.
  •  Pre-process data using Pig and Hive.
  •  Secure company data and privacy of Hadoop clusters.
  •  Implement and manage HBase.
  •  Perform bulk data analysis and infer the required results.

These are many responsibilities that inadvertently raise the question of how much a Hadoop developer gets paid.

How Much Money Does a Hadoop Developer Make?

Hadoop tops the table when it comes to positions related to big data. According to the Dice Job Search Institute, Hadoop professionals earned an average of $ 108,000 a year in previous years, slightly more than the average annual salary of $ 106,000 for other big jobs. ZipRecruiter also recorded an average salary of $ 112,000 for a professional Hadoop developer.

Indeed also hires a pay range for Hadoop-related jobs, ranging from a minimum of $ 63,500 a year for a manager to $ 141,000 for a software architect.

Note that these figures are the average wages for these jobs, which means that there are software architects with an annual income of more than $ 141,000. Sounds like a lucrative job, isn’t it?

How to become a Hadoop developer?

Here we come to the main point of this article: How can we become a Hadoop developer? Given the amount of pay that goes into these positions, you might think that getting a job is hard work, but it is not necessarily the case.

First, you do not need a computer science degree to become a Hadoop developer in terms of a college education. Any evidence related to topics such as analysis, electronics, or statistics is useful.

Theoretically, you can have any degree (journalism, art history, handicrafts)! But you should be familiar with the field of information technology.

Second, you need to acquire some of the skills listed above.

You can acquire these skills through independent study (books, internet, movies) or by taking real classes.

Naturally, familiarity with Hadoop principles is essential. Since Hadoop is an open-source framework, learning and working with it with the help of educational resources is relatively simple.

The next step involves performing exercises and tasks related to Hadoop. In other words, doing good is more than filling. Do not forget that to achieve a good and successful result in any work, you have to put a lot of effort, effort, and practice.

With a lot of practice, adapt to the way you work with data and gain experience in decoding, analyzing, and converting data.

Finally, go for organized skills and certification. There are many online resources and there are many companies that issue valid certifications in this field.

What is the future of Hadoop?

According to Allied Market Research, the global Hadoop market will reach $ 85 billion by 2022. In the list of top 20 technology skills in the field of data science, Hadoop ranks fourth, and the lack of a qualified workforce in this profession has made it an exceptional job opportunity.

This volume of demand is because companies have concluded that paying attention to the personal needs of customers has a serious competitive advantage.

The consumer is indeed looking for the right product at an acceptable price, but on the other hand, customers like companies to value them and respond to their needs.

How does a company try to understand what people want?

The answer is obvious, by conducting field research that determines what customers want.

This field research is done by analyzing and processing large amounts of data stored in an organization’s databases or social networks.

What big-efficiency technology processes data efficiently and effectively?

This is the task of Hadoop. By processing large amounts of data into usable content, a company can identify the needs of consumers and provide them with a personalized experience. Jobs that can implement this strategy will be jobs that are at the top.

That is why the demand for Hadoop developers is so high and will be even higher. Businesses need people who can use Hadoop to sift through all this data and attract customers with ads, ideas, and policies.

This is the way business is done today and if you fail to do it, your business will be ruined.

Becoming a Hadoop developer can be a great choice if you are looking for a career that is sure to offer you many opportunities.

If you are a developer right now, adding Hadoop skills to your resume gives you new opportunities and can help you maintain your current job position.