Job Title : Big Data Developer
Job Location : Princeton,NJ
Job Duration : 8+ Months
Full Time or C2H
Provide care and feeding of our Big Data environments and its interfaces built upon technologies in the Analytics Ecosystem including Hadoop, Spark, Kafka and Splunk all running on Linux.
Day-to-day monitoring and troubleshooting of jobs, problems and performance issues in our clusters
Contribute to addressing evolving storage needs to meet changing requirements for scaling, reliability, performance, manageability.
Investigate and characterize non-trivial performance issues in various environments
Work with Systems and Network Engineers to evaluate new and different types of hardware to improve performance or capacity
Work with other team and data management teams to evaluate their big data use cases, provide feedback and operational design guidance
Coordinate support activities with other data and architecture teams, while prioritizing responsibilities and simultaneously working on high-priority projects.
5+ years of technical support, field or application engineering experience in Big Data technologies such as Spark, Hadoop, Splunk, MapReduce, Hive, Pig, Kafka or HBase
Programming/Scripting experience in Scala, Java, Python and/or C++
Understanding of Hadoop file format, data transformation, and compression.
Experience in working with Kafka messaging system
Strong with real-time analytics using stream processing frameworks such as Spark
Experience working with Splunk (required)
Strong Linux/Unix support skills (required)
Excellent analytical and troubleshooting skills
Excellent customer facing, verbal and written communication skills.