Job Description :
Position: Big Data Solution Architect
Location: Tampa FL
Duration: Full Time

Job Description:
A Big Data Solutions Architect generally should have a lot of experience gained in normal solutions architecture before making the move to big data solutions.
10-15 years of working experience is very common for this position. Obviously, he or she needs to have experience with the major big data solutions like Hadoop, MapReduce, Hive, HBase, MongoDB, Cassandra.
Quite often they also need to have experience in big data solutions like Impala, Oozie, Mahout, Flume, ZooKeeper and or Sqoop.
In addition to big data solutions, a big data solutions architect needs to have a firm understanding of major programming scripting languages like Java, Linux, PHP, Ruby, Phyton and or R.
As well as have experience in working with ETL tools such as Informatica, Talend andor Pentaho.
He or she should have experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and or knowledge on NoSQL platforms.
             

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