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Hadoop Developer Job Description

Hadoop Developer job description

Hadoop developers are given the responsibility of developing and coding all the applications of Hadoop. It is an open-source framework that efficiently manages and stores large data applications. In most cases, these applications proficiently run amongst the cluster systems. The developers create applications for managing and maintaining a company's big data. Also, they are responsible for coding and programming all the applications of Hadoop. They have to play quite a similar role to that of a software developer. Even though their role is quite similar, the Hadoop developers are a part of the big data domain.
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Hadoop Developer Job Brief

We look forward to hiring a proficient and skilled Hadoop developer who will efficiently help build storage software. Besides, they must also have the capability of building big data infrastructure. The primary responsibility of the chosen candidate is to design, build, and maintain the Hadoop infrastructure.

Sometimes, the developers are also required to evaluate the existing data solutions. On the other hand, they must also be capable of developing documentation, writing scalable ETLs, and efficiently training staff. All Hadoop developers must possess in-depth knowledge of Hadoop API. Additionally, they must be able to manage projects and have high-level programming skills.

Hadoop Developer Responsibilities

Listed here are the job responsibilities of a Hadoop developer:

  • Designing and coding the Hadoop applications for analyzing all data collections.
  • Arranging meetings with the development team to assess the big data infrastructure of the company.
  • Extracting data and isolating all the clusters of data.
  • Creating compelling data processing frameworks.
  • Troubleshooting significant application bugs.
  • Testing scripts and analyzing the results closely.
  • Creating efficient data tracking programs.
  • Maintaining complete security of company data.
  • Providing hands-on training to all the staff regarding the ways of using applications.
  • Producing the documentation of Hadoop development.
  • Proposing the best standards or practices of Hadoop.
  • Efficiently translate complex technical and functional requirements into a deliberately detailed design.
  • Developing and implementing Hadoop.
  • Pre-processing data using Pig and Hive.
  • Loading Hadoop data from disparate data sets.
  • Performing analysis of vast data stores while uncovering insights.

Hadoop Developer Requirements

Listed here are the job requirements of a Hadoop developer:

  • Hands-on experience as a big data engineer or a Hadoop developer.
  • A bachelor’s degree in computer science, software engineering, or any other relevant field.
  • In-depth knowledge of HBase, Hive, and Pig.
  • Extensive and advanced knowledge of the Hadoop ecosystem along with its components.
  • Immense knowledge of numerous back-end programming languages, including Node.js, JavaScript, and OOAD.
  • Greater familiarity with Pig Latin Scripts and MapReduce.
  • High-level problem-solving and analytical skills.
  • Extensive familiarity with data loading tools, including Flume and Sqoop.
  • Magnificent communication and management skills.
  • Hands-on experience in HiveQL.
  • Excellently proven understanding and knowledge of schedulers/workflow like Oozie.
  • Extensive knowledge of database structures, principles, theories, and practices.
  • The ability to write high-performance, maintainable and reliable codes.

Why hire a Hadoop Developer using Cutshort?

So, why Cutshort? Why not some other networking or job listing platform?

With such platforms, you first have to "hunt down" multiple candidates by spending weeks (or maybe even months) of your time only to be turned down by them later. Or worse, get bad profile recommendations for the role.

At Cutshort, you get:


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