Hadoop Developer Job Description Template/Brief

We are seeking a Hadoop developer to assist us in developing large-scale data storage and processing software and infrastructure. Knowledge of current technologies and the ability to create applications utilizing the Hadoop API is required.

Hadoop Developer Job Profile

Hadoop is a free and open-source platform for managing and storing large data applications in clusters. Hadoop developers are in charge of developing and coding Hadoop applications. A Hadoop developer, in essence, provides programmes to handle and maintain a company's massive data.

Reports To

  • Chief Technology Officer
  • Tech Lead
  • Lead Hadoop Engineer
  • Sr. Software Developer
  • JavaScript Developer

Hadoop Developer Responsibilities

  • Be in charge of all Hadoop application design, development, architecture, and documentation
  • Be in order of installing, configuring, and maintaining Hadoop
  • Use a scheduler to manage Hadoop tasks
  • Reduce code for Hadoop clusters while also assisting in the creation of new Hadoop clusters
  • Translate complex methodology and functional specifications into comprehensive designs
  • Create online apps for data querying and fast data tracking, all at better speeds
  • Propose the organization's best practises and standards, then transfer them to operations
  • Test software prototypes and supervise their subsequent transfer to the operational team
  • Use Pig and Hive to pre-process data
  • Maintain enterprise data security and Hadoop cluster privacy
  • HBase administration and deployment
  • AnalyzeAnalyze massive data repositories and obtain insights

Hadoop Developer Requirements & Skills

  • A bachelor's or master's degree in computer science
  • Basic understanding of Hadoop and its Eco-System
  • Capable of working with Linux and executing most basic commands
  • Practical Knowledge of Hadoop Core Components
  • MapReduce, Pig, Hive, and HBase are examples of Hadoop technology
  • Capability to deal with Multi-Threading and Concurrency in an Eco-System
  • Familiarity with ETL and data loading technologies such as Flume and Sqoop
  • Ability to deal with Back-End Programming
  • A solid understanding of SQL fundamentals and distributed systems
  • Extensive programming experience in languages such as Java, Python, JavaScript, and NodeJS
  • Familiarity with Java