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Manager - Big Data Platform Administration


Job ID:



Eslin, NJ, United States 


Analytics, Android, Artificial Intelligence/ NLP Programming, AWS - Amazon Web Service, Azure, Bi/BO, Big Data Analytics, Big Data Appliance Skills, Big Data Architect, Big Data BI, Big Data Developer, Big Data Recruiter, Big Data Research, Big Data Sales, Big Data Telecom, Big Data Trainer, BigData Admininistration (DBA), BigData Visualization, Business Development, C++ #, Cassandra, Chief Data Officer, Cloud Computing, Cognos, Consultant, Consumer Analytics, CTO, CyberSecurity, Data Center, Data Mining, Data Scientist, DataWarehouse, DBA, Digital, Drones, Eclipse, Embedded System Programmer, Entry Level, ETL Developer, Executive, Finance Big Data, Game Designer, Geospatial, Hadoop, Hadoop ADMIN, Hardware Product Manager, Heathcare Analytics, Hive, HP Vertica, IBM Streams, Informatica, Information Technology, IOS, IOT NetworkEngineer, IOT UI Designeer, Java Developer, Machine Learning, MapReduce, MATLAB, MDM, MongoDB, MySql, Netezza, NoSql-Database, On-Line Analytical Processing (OLAP), Oracle BI, Oracle PL/SQL, Other, Pearl, Pentaho, Pig, Platform Engineer, Predictive Analytics, Professional Services, Project Manager, Python, QlikView, Tableau, R Language, Ruby on Rails, Salesforce, SAP BI& BOBJ, SAP HANA, SAS, Social Media Analytics, Software Engineering, SPSS, SQL, Statistics, Strategy-Planning, Sustainability, TERADATA, Web Analytics

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Job Description:

  • Minimum of 10 years experience in a professional IT Role with ability to mentor junior team members
    At least 8 to 10 years of experience in system administration Unix/Linux/AWS/
    3+ years experience working in Hadoop ecosystem: HDFS, Sqoop, Hive, Oozie, Hive, Impala, Spark, Ambari, ClouderaManager and related tools
    Experience with Hadoop Cluster Design, Configuration, Installation, Patching, Upgrading and support on High Availability using Hortonworks /Cloudera distribution. 

Job Requirements:

Proven experience with managing 24/7 business critical applications
Must have designed Big data analytics platform infrastructure on cloud
Expertise in Cloud Based (AWS preferred) solutions and platforms
Experience in Monitoring technologies, Big data backup strategies and Virtualization environments
In depth understanding of BI and Analytics Solution Architecture
Experience Architecting large scale distributed systems, especially those involving Hadoop, Spark, NoSQL databases and analytical programming languages(Python/R).

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