Hadoop Technical Manager
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Job description
Jobsbridge 10+ years of proven experience in distributed systems, parallel computing, data warehousing and analytics. 6+ years of experience in large scale hadoop compute clusters and petabyte data stores. 1 year of experience using spark data stack for map reduce, sql, streaming, machine learning, and graph applications.
Hands-on programming expertise in java, python, sql (scala a plus) Best practices of data management - data governance, data lineage, data security, authentication, and authorization Proficient in data life cycle - appraisal, acquisition, cleansing, metadata, ingestion, storage, transformation, and visualization Experience in oltp, olap, and any mpp (teradata, asterdata, greenplum etc.,) data engines. Expert at hdfs and yarn configuration and optimization (gluster, quant, tachyon, grid gain is a plus) Well versed in flume, scribe, sqoop, oozie, pig, falcon, thrift, cascade, hive, hcatalog, zookeeper Hadoop, Architect, Data Stack, Java, Python, SQL, Teradata, Technical Architect