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Big data developer

Roles & Responsibilities

  • Proficiency in Hadoop, Hive, Pig, and HBase.
  • Experience with back-end programming in Java, Spark/Scala, or PySpark.
  • Knowledge of Databricks, Jupiter notebooks, and SQL.
  • Strong analytical, problem-solving, and multi-threading skills.

Requirements:

  • Design, develop, and maintain Hadoop-based applications.
  • Perform data analysis using Jupiter or Databricks notebooks.
  • Manage and deploy Hadoop components like HBase and Hive.
  • Create scalable web services for data tracking.

Job description

JD for Big Data Developer –
JyupiterDatabrics Notebook, hive, Pyspark, SQL –
58 Years
* Knowledge related to Hadoop.
* Good knowledge of back‐end programming, specifically Java, SparkScala or PySpark.
* Good knowledge on Databricks
* Good knowledge on Jyupiter andor Databricks Notebooks
* Good knowledge of database structures, theories, principles, and practices.
* Ability to write MapReduce jobs.
* Analytical and problemsolving 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.
* Big Data Developer who can program 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, Hive, Databricks.
* Perform analysis of vast data stores and uncover insights using Jupiter notebooks or Databricks notebooks
* Hadoop development and implementation.
* Working on disparate data sets.
Create scalable and high‐performance web services for data tracking

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