Deloitte Hadoop – Senior Data Engineer in San Jose, California
HADOOP Senior Data Engineer
Strongdata analysis and SQL skills in Relational/Columnar/Big data environments(Joins, Union, rank, group by, order etc.)
Demonstrateexcellent written and verbal communication skills
Experiencewith Agile implementation methodology and working in a globally distributedteam structure
Ableto work independently in a fast-paced environment
Experiencein Hadoop distributions (Apache / Cloudera / Hortonworks)
Abilityto deploy and maintain multi-node Hadoop cluster
Experienceworking with Big Data eco-system including tools such as Hadoop, Map Reduce,Yarn, Hive, Pig, Impala, Spark , Kafka, Hive, Impala and Storm to name a few
Knowledgeablein techniques for designing Hadoop-based file layout optimized to meet businessneeds
Understandsthe tradeoffs between different approaches to Hadoop file design
Experiencewith techniques of performance optimization for both data loading and dataretrieval
Experiencewith NoSQL Databases HBase, Apache Cassandra, Vertica, or MongoDB
Ableto translate business requirements into logical and physical file structuredesign
Abilityto build and test rapidly Map Reduce code in a rapid, iterative manner
Abilityto articulate reasons behind the design choices being made
6 years of work experience
3 years working with Hadoop
Bachelor's Degree or equivalent work experience
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Category: Management Consulting