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Senior Big Data Developer

Location: Madison, WI
Date Posted: 03-03-2017
This is a senior level IT position on the Big Data/Hadoop team. Responsibilities include building Hadoop based applications as well as mentoring junior developers on a wide variety of Hadoop and related technologies. This position will be responsible for leading development teams on building batch and real time/streaming applications leveraging diverse data sets on Hadoop that feed predictive models and other analytical use cases that are integrated via web services with internal and customer facing systems. This position will be expected to provide technical guidance and hands on mentoring of junior developers across a broad spectrum of Hadoop and Big Data related technologies.

Strongly Desired Experience:
• Hands on senior level experience developing applications and mentoring other onshore and offshore junior developers on a wide variety of Hadoop and related technologies which must include Sqoop, Hive, Pig, Spark, Spark Streaming, Kafka, Hbase, Solr. (Experience with Apache NiFi is a plus)
• Demonstrated experience and mentoring of junior level developers on Data Warehousing projects leveraging the Hadoop platform for ingesting, integrating, and delivering large and diverse data sets (such as Mainframe, RDBMS, text files, images, call recordings, unstructured text, PDFs, sensor data, web activity) for various analytical use cases required.
• Demonstrated experience and mentoring of junior Hadoop developers working with Data Science teams to enable development and deployment of predictive models leveraging various technologies on the Hadoop platform such as R, Python, Spark, H20, SAS etc. strongly desired. Extensive experience with statistics is not required, however this individual will work closely with data scientists and statisticians providing IT support for deployment of data science and predictive applications.
• Demonstrated experience integrating results of Hadoop based analytical applications with other internal and consumer facing systems through Java based Web Services, APIs, or other methods strongly desired.
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