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About Big Data Developer

About Big Data Developer

Prerequisites to become a Big Data Developer:

Big Data Developer is the one who loves programming. He/she needs to know core Java, SQL, and any scripting language along with good interpersonal skills. A big data developer is responsible for coding or programming Hadoop applications. This role is similar to that of a Software Developer.

Skills required to become a Big data developer:

  • Knowledge related to Hadoop.
  • Good knowledge of back‐end programming, specifically Java, JS, Node.js, and OOAD
  • Good knowledge of database structures, theories, principles, and practices.
  • Ability to write MapReduce jobs.
  • Analytical and problem-solving skills
  • High‐performance, reliable and maintainable code writing skills.
  • Good aptitude in multi‐threading and concurrency concepts.
  • Proven understanding of Hadoop, Hive, Pig, and HBase.

Roles and Responsibilities of Big Data Developer:

Big Data Developer roles and responsibilities are almost the same as a software developer responsible for programming Hadoop applications in the Big Data domain.

  • Designing, building, installing, configuring, and supporting Hadoop
  • Maintain security and data privacy
  • High‐speed querying.
  • Proposing design changes and suggestions to processes and products
  • Managing and deploying HBase.
  • Perform analysis of vast data stores and uncover insights.
  • Hadoop development and implementation.
  • Working on disparate data sets.
  • Create scalable and high‐performance web services for data tracking.