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- Hadoop Architect on Big Data Technologies – Map Reduce, HDFS, Hive.

-Hands-on experience with the Hadoop stack (e.g. MapReduce, Pig, Hive, Hbase, Flume) with expertise in Hive and oozie.

-Hands-on experience with related, complementary open source software platforms and languages --(e.g. Java, Linux, Apache, Perl/Python/PHP).

-Hands-on experience with Data warehouse, BI, and ETL (Extract-Transform-Load) tools (e.g Informatica, Actuate, Pentaho).

-Experience with any analytical tool, languages, or libraries (e.g. SAS, SPSS, R, Rapid Miner) is a PLUS.

-Experience in autosys or similar job scheduling tools.

-Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores.

-Detailed knowledge of RDBMS data modeling and SQL.

-Ability to design solutions independently based on high level architecture.

-Ability to implement Hadoop based solutions.

-Cloudera certification preferred.