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Comprehensive Hadoop Developer Job Description, Duties, Responsibilities, Requirements, and Qualifications

Comprehensive Hadoop Developer Job Description, Duties, Responsibilities, Requirements, and Qualifications
September 27, 2025

Gain insight into the essential qualifications, important duties, key responsibilities, and vital skills that form a well-rounded Hadoop Developer job description.

What does a Hadoop Developer do?

A Hadoop developer creates applications to manage and maintain a company's large amounts of data using the Hadoop framework. This framework is open-source and helps store and manage big data within cluster systems.

Job Description

We are looking for a skilled Hadoop developer to help build and maintain our big data infrastructure and storage software. Your main role will be designing, building, and managing the Hadoop infrastructure. You may also be responsible for evaluating current data solutions, creating scalable ETLs, documenting processes, and training other staff members.

To be successful as a Hadoop developer, you should have a deep understanding of the Hadoop API, strong programming skills, and the ability to manage projects. A top-notch Hadoop developer will design and implement custom Hadoop applications to manage current and future big data systems.

Job Duties and Responsibilities

  • Meet with the development team to assess the company's big data infrastructure.
  • Design and code Hadoop applications to analyze data collections.
  • Create data processing frameworks.
  • Extract and organize data clusters.
  • Test scripts and analyze results.
  • Troubleshoot application bugs.
  • Maintain the security of company data.
  • Create data tracking programs.
  • Produce Hadoop development documentation.
  • Train staff on how to use the applications.

Requirements and Qualifications

  • Bachelor's degree in software engineering or computer science.
  • Previous experience as a Hadoop developer or big data engineer.
  • Advanced knowledge of the Hadoop ecosystem and its components.
  • In-depth understanding of Hive, HBase, and Pig.
  • Familiarity with MapReduce and Pig Latin scripts.
  • Knowledge of backend programming languages like JavaScript, Node.js, and OOAD.
  • Familiarity with data loading tools like Squoop and Flume.
  • Excellent analytical and problem-solving skills.
  • Strong project management and communication abilities.

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