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Java Big Data Developer

Job Id : 4809

Jobtitle : Java Big Data Developer

Location : Philadelphia, PA

Company Name : Turnberry Solutions

Industry : Information Technology

Salary : $66,000 - $85,000  YEAR

Job type : Fulltime

Posted on: 2019-09-30

Required Skills : Hive, Pig, MapReduce, HBase, Spark, Storm And Kafka, MySQL

Benefits : No benefits are available

Required Skills Set:

Years of Experience: 5-8

Education Required: Bachelors Degree or Equivalent Work Experience

  • Requires a bachelor's degree in area of specialty and 5 - 8 years of experience in the field or in a related area.
  • Good knowledge of standard concepts, practices, and procedures within a particular field.
  • 5-8 years of Java experience.
  • Strong communication skills.
  • Experience with Hbase, kafka and spark.
  • Ability to write simple to complicated SQL in addition to having ability to comprehend and support data questions/analysis using already written existing complicated queries
  • Familiarity in Dev/Ops (Puppet, Chef, Python)
  • Good understanding of Big Data concepts and common components including YARN, Queues, Hive, AtScale, Kafka, Kinesis and HDF.

Project Description:

  • Designs, develops, and implements Java applications to support business requirements.
  • Follows approved life cycle methodologies, creates design documents, and performs program coding and testing.
  • Resolves technical issues through debugging, research, and investigation. Relies on experience and judgment to plan and accomplish goals.
  • Performs a variety of tasks. A degree of creativity and latitude is required. Typically reports to a supervisor or manager.
  • Codes software applications to adhere to designs supporting internal business requirements or external customers.
  • Standardizes the quality assurance procedure for software. Oversees testing and develops fixes.
  • Contribute to the Design and develop high quality software for large scale Java/Spring Batch/Hadoop distributed systems by
  • Loading and processing from disparate data sets using appropriate technologies including but not limited to, Hive, Pig, MapReduce, HBase, Spark, Storm and Kafka, MySQL

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