JD for Big Data Developer –
Jyupiter/Databrics Notebook, hive, Pyspark, SQL –
5-8 Years
* Knowledge related to Hadoop.
* Good knowledge of back‐end programming, specifically Java, Spark/Scala or PySpark.
* Good knowledge on Databricks
* Good knowledge on Jyupiter and/or Databricks Notebooks
* 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.
* 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