Hadoop Engineer

tampa, Florida

A financial services organization is seeking a Hadoop Engineer to join their team in Tampa.

• Designing Hadoop deployment architectures that include: high availability, scalability, process isolation, load-balancing, workload scheduling, etc.
• Installing, validating, testing, and packaging Hadoop products on Red Hat Linux platforms. 
• Enforcing Hadoop best practices, configuration recommendations, usage design/patterns, and cookbooks.
• Performing security and compliance assessments for all Hadoop products. 
• Acting as a Hadoop SME and Level-3 technical support for troubleshooting. 

• 10+ years overall IT experience with knowledge of Cloudera distribution (CDH) and Cloudera Manager.
• 2+ years working with Big Data solutions and techniques. 
• 2+ years of experience with Hadoop application infrastructure engineering and development.
• Demonstrated knowledge of HDFS, Spark, MapReduce, Hive, HBase, ZooKeeper, Impala, SOLR, KAFKA and Flume. 
• Familiar with installing, troubleshooting, and tuning the Hadoop ecosystem. 
• Experience with Red Hat Linux, UNIX Shell Scripting, Java, RDBMS, NoSQL, and ETL solutions. 
• Experience with full Hadoop SDLC deployments with associated administration and maintenance functions. 
• A proven track record developing Hadoop integrations for data ingestion, data mapping and data processing capabilities. 
• Strong knowledge of designing application solutions that make use of enterprise infrastructure components such as storage, load-balancers, 3-DNS, LAN/WAN, and DNS. 

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