Big Data Engineer (MYS)
Job Location: Hillsborough, N.J.
We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. Responsible for integrating them with the architecture used across the company.
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities. Monitoring performance and advising any necessary infrastructure changes. Defining data retention policies.
Expert with Hadoop, MapReduce. Proficient understanding of distributed computing principles. Management of Hadoop cluster, with all included services. Ability to solve any ongoing issues with operating the cluster. Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming. Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala. Experience with Spark. Experience with integration of data from multiple data sources. Experience with NoSQL databases, such as HBase, Cassandra, MongoDB. Experience with various messaging systems, such as Kafka or RabbitMQ. Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O. Good understanding of Lambda Architecture, along with its advantages and drawbacks. Experience with Cloudera/MapR/Hortonworks.
Please contact Michael Savio at firstname.lastname@example.org
140-150K + Bonus + Amazing Benefits
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