Hadoop Developer Job Description

A Job Description for a Developer of Hadoop

The global community of users and contributors use the top-level project of Apache, called Hadoop. Apache is a programming framework used for large-scale storage and processing of Big Data in the distributed computing environment. Big Data is stored and processed using a tool called Hadoop.

Companies are using the technology to manage large amounts of data. To work on Hadoop, you need to know the Hadoop ecosystem. To perform the duties well, a developer needs to be familiar with the concept of Big Datand how to find value from the data.

A developer with a knowledge of playing with data, storing it, transforming it, managing it, and decoding it is the one who knows how to avoid it being destroyed. The skills of the developer open doors. If you want to get a high salary in the job of a Hadoop developer, you should have the skills listed on your resume.

There is no bar of salary for the person who can handle all the responsibilities of the job. The average salary for a developer of Hadoop is $108,500 per annum. The average salary for a developer of a Hadoop is more than the average salary for other open jobs.

What is a Hadoop Developer?

A lot of people are confused about what a normal software developer is and what a Hadoop Developer is. The roles are the same, but the developer is in the Big Data domain. Let's discuss the points in detail about them.

The career of the Hadoop Developer is promising. Every industry requires a certain number of developers in the form ofhadoop. Skills are the main factors that can give you opportunities to lead your career in the right direction.

There are a wide range of responsibilities when discussing Job Responsibilities. If you have relevant skills on your resume, you can open a lot of opportunities for yourself. Skills required to become a proficient Hadoop developer are listed below.

A Job Description for a Developer of Hadoop Software

The Apache Foundation created the open-source, Java-based software framework called "Hampden" which can be used to process large amounts of data on complex distributed systems at high speed. It is suitable for dealing with big data. A Hadoop Developer is responsible for the coding, development, and design of the applications, though they may vary depending on the company they work for.

A developer with adequate knowledge of coding and programming is needed for a project. They are in charge of writing MapReduce coding. The tasks of the developer of the software similar to those of the developer of the Hadoop.

The developer of the Hadoop software is responsible for understanding and finding solutions to problems. They must be able to convert complex processes into functional designs. A Hadoop expert is also a web application developer.

They are responsible for keeping the data private and security, and for analyzing it to get insights. A bachelor's degree is the first step to becoming a developer. If there is a connection to IT, then anything from a Computer Science degree to a degree in Analytics, Physics, Mathematics, or Statistics is acceptable.

Space-approved Developers: A Guide for Avoiding Scamming in Apache Hadoop Platform

A specific profile and set of unique skills are required of a chosen professional to succeed in their job. Businesses need knowledgeable and well-versed Apache Hadoop professionals who can assume the role given and perform the responsibilities expected of them in light of the importance of Apache Hadoop as a platform to leverage Big Data for better decision-making and implementation strategies across company sectors. Many companies try to save money by hiring people from other companies.

Sub-par developers and even scam artists have set up profiles to try to make money with the advent of job boards and platforms. Even after they have become a part of the community, they are still a part of it. Space encourages its developers to continue learning and honing their skills in software development by taking a recommended training course or technical program.

The Top Ten Trends for a Hadoop Developer

The world of IT Industry has a highly rewarded profile of the Hadoop Developer. The average salary of a Hadoop Developer is more than any other professional according to the most recent updates provided in the social media. We will discuss the salary trends for a Hadoop Developer in different countries based on their experience.

Let us consider the United States of America. Big data professionals working in the domain are offered with different salaries based on their experience. The salary for an entry level developer in the United Kingdom is 25,000 to 30,000 Pounds, while an experienced developer will get 80,000 to 90,000 Pounds.

For an entry level developer in India, the salary is 400,000 to 500,000INR, while for an experienced candidate, the salary is between 4 and 5,000,000INR. Different companies have different issues with their data, so the roles and responsibilities of the developers need a varied skill set to capable enough to handle multiple situations with instantaneous solutions. The responsibilities of the Hadoop Developer include some major roles.

Big Data Developers

Big Data is still growing and is a big part of the digital business world. Business professionals increasingly rely on it to handle today's data overload, as the popularity of Hadoop continues to rise. The market for Hadoop is expected to grow significantly between the years of 2020 and 2025.

A developer is responsible for the coding and programming of the applications. The position is similar to a software developer. Big Data Developer, Big Data Engineer, Hadoop Architect, and Hadoop Lead Developer are some of the occupations associated with the termhadoop developer.

Big Data job postings are dominated by Hadoop. The average annual salary for Big Data jobs that don't include Hadoop is $106,500, which is a bit more than the $108,000 average for the professionals who work in the area of Hadoop. ZipRecruiter shows an average of $112,000 for an entry level Big Data Hadoop Developer.

The demand for developers of Hadoop is high and will only go higher. Businesses need people who can use the data to come up with great ideas and policies to bring in new customers. Failure to do that will cause your company to go extinct.

If you want to get into a field that has lots of opportunities, you should go with the one that uses the Hadoop Developer. If you are already a developer, you should consider adding Hadoop to your bag of tricks. If you choose to leave your current job for a better one, the certification will help you stand out from the other applicants.

Career Paths in Hadoop Developer

Big Data is one of the most noticeable areas that provides businesses with reliable opportunities to gather competitive advantage. There have been more online searches for big data Hadoop developer jobs. Big Data tools like Hadoop are very popular.

It is considered the standard benchmark tool for storing, managing, and analysis of big data. Many individuals don't have the proper guidance regarding the ideal career path for a Hadoop developer. The goal of the project is to scale up from a single server to multiple machines without compromising on local computation and storage.

One of the first steps for beginners to learn about the world of Hadoop is to understand the definition of the software. The collection of software in the Hadoop ecosystem provides support for resolving issues related to massive volumes of data and computation. You can say that Hadoop is the ideal instrument for managing the huge volumes of information arising from big data.

It can help in the development of feasible solutions and strategies based on the analysis of information. If you are going to become a developer of the Hadoop platform, you need to know what you will have to do. The job description for a Hadoop developer is a must have for aspiring professionals to estimate the type of professional responsibilities they have to follow.

The job description can help you estimate the perfect milestone in your career path. Candidates can identify the skills and knowledge required for executing important professional responsibilities. Professional programmers with sophisticated knowledge and skills are the ones who work with the Hadoop components.

Candidate for a Big Data Developer Job in the Workplace

Professionals change careers at least 3 to 4 times in their life and on average hold 7 jobs, according to industry statistics. Whether you are a cubicle loyalist with a wandering eye or a programming nerd, the question how best to steer your career is always a matter of concern. If you are a techie planning to switch careers, you need to have a good skill set on your resume to be successful.

The Economic Times highlighted that if you know what you're doing, you're a hot commodity on the job circuit. IT companies will need 2.5 million more big data professionals by the end of 2015, as acknowledged by market analysts and industry research reports, so if you want to cash in on a healthy hiring market, you should consider building a career in Hadoop. When compared to the average for all other occupations, the job opportunities for Hadoop developers are expected to grow much faster.

The high paying job in big data can be grabbed through comprehensive learning of Hadoop that helps professionals and beginners add big data skills to their career profile. The Big Data market is in its infancy and it is difficult to find proper guidance. It is necessary to master the technology on its own.

A computer science background is a big factor when choosing a career in hadoop. Professionals with a variety of educational qualifications can excel in a career in Hadoop. A degree from a masters degree is not a good idea for a Hadoop developer because most big data companies don't want to hire someone with a degree just to cut down on their resume.

Being a Hadoop developer requires real world problem solving capabilities, which is why companies believe that university curriculums are too focused on theoretical aspects. Candidates with PhDs in a statistical or numerical discipline are preferred by companies for specialized big data roles. If you are from a Statistics, Physics or business analytic background, you can definitely create a benchmark as a Hadoop Developer in the workplace by mastering the skills in real time.