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Sr. Java/Big Data Developer
Ref No.: 18-01210
Location: Philadelphia, Pennsylvania
Sr. Java/Big Data Developer in Philadelphia, PA 19103

Interview Logistics:
Phone Interview
F2F Interview
Required Skills Set:
Years of Experience: 8+
Education Required: Bachelors Degree or Equivalent Work Experience
  • Requires a bachelor's degree in area of specialty and 8 years+ of experience in the field or in a related area.
  • Expert knowledge of standard concepts, practices, and procedures within a particular field.
  • 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)
  • Expert knowledge of Big Data concepts and common components including YARN, Queues, Hive, Beeline, AtScale, Datameer, Kafka, and HDF.

Additional Preferred Skills:
Java, Flink, Nifi, Full Stack Development Experience
Project Description:
  • Designs, develops, and implements web-based 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.

Physical Environment and Working Conditions:
Must be able to work on site in Philadelphia, PA