HBase MapReduce Hadoop Developer Hive Spark Developer (Jobs in Cincinnati, OH)   Requirement id 95061 Job title Developer Job location in Cincinnati, OH Skills required Cloud Developer, HBase, MapReduce, Hadoop Developer Hive Spark Open Date 15-Jul-2019 Close Date Job type Contract to Hire Duration 6 Months Compensation DOE Status requirement --- Job interview type ---    Email Recruiter: coolsoft Job Description Developer: Cloud Developer, HBase, MapReduce, Hadoop Developer Hive Spark Candidate must be our W2 Employee we should take signed RTR form from candidate Notes : Candidate must be on your direct W2 or a transfer. Sub-vending is not allowed for this role. You can also submit non-local candidates for this role. Description Position Description: Hadoop Developer on a team that supports Cloudera based Hadoop cluster Position/Project Specific Requirements: Technical Responsibilities: • The design, care, and feeding of Big Data environments built upon technologies in the Hadoop Ecosystem • Day-to-day troubleshooting of problems and performance issues in our clusters • 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 developers to evaluate their Hadoop use cases, provide feedback and design guidance • Responsible for ongoing administration of Hadoop infrastructure. • Work with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users. • Performance tuning of Hadoop clusters and Hadoop MapReduce routines • Manage and monitor Hadoop connectivity, performance, security, log files • HDFS support and maintenance, capacity planning • Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required. Required Skills: • Experience with Cloudera • Experience Hadoop system administration including HDFS, Yarn, MapReduce, Hive, Pig, HBase • In depth knowledge of configuration, capacity planning and tuning of services such as MapReduce, Hive, Yarn, HBase • In depth knowledge of HDFS file formats such as ORC, Avro, Parquet and others • Experience with data ingestion and streaming frameworks such as Sqoop, Flume, Kafka • General operational expertise and excellent troubleshooting skills, understanding of system capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks • Experience with Kerberos (security) Position/Project Specific Preferences/Desires: • SQL and HiveQL knowledge • Oozie Workflow scheduler system • Experience with Python • Experience with Spark   Call 502-379-4456 Ext 100 for more details. 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