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Manager Big Data Platform Architect <Mgr>
職務内容 <Main Tasks>
・ Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
・ Implementing ETL/ELT process and orchestration of data flows
・ Monitoring performance and advising any necessary infrastructure changes
・ Defining data retention policies
・ Mentoring junior engineers and working with other architects to deliver best in class solutions

<Selling point of this position>
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. You will also be responsible for integrating them with the architecture used across the company. 
登録資格 <Skills and Experience Required (MUST)>
・ Proficient understanding of distributed computing principles
・ Management of Hortonworks (or some Hadoop) cluster, with all included services
・ Ability to solve any ongoing issues with operating the cluster
・ Good understanding of Lambda Architecture, along with its advantages and drawbacks
・ Proficiency with Hadoop v2, MapReduce, HDFS
・ Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
・ Knowledge of various ETL techniques and frameworks, such as Flume

Experience of the car industry:Preferred
TOEIC:730

<Skills and Experience Requested (WANT)>
・ Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
・ Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
・ Experience with Cloudera/MapR/Hortonworks
・ Experience with HDF and NiFi
・ 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 of the car industry:Preferred
TOEIC:730

<Please describe successful candidate image (Personality)>
・ Ability to solve any ongoing issues with operating the cluster  
勤務地  GHQ/Address:Nishi-ku, Yokohama-shi, Kanagawa 


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