Job Description :
Position:- Hadoop Developer
Location: Chicago, IL
Duration: 6 months Contract possible hire
Interview :- Phone then face to face

Client is looking to get some started next week

Hadoop Application with hands-on Architecture and Development experience building analytical applications using the Hadoop ecosystem.
This experience should include:
Architecting and designing Hadoop data architectures, including HBase and Hive database design, and data processing/transformation using Spark, NiFi, and/or Pig
Architecting and designing large scale Hadoop infrastructures, providing for scalability and availability
Should have worked on Hortonworks/Cloudera distributions
Develop Hadoop components using Scala, Java, Python, Map Reduce or other languages/tools. Scala Preferred.
Hadoop performance tuning and optimization
Experience with Security Architecture Setup of Hadoop environments using LDAP, AD, and Ranger
Experience with common Hadoop file formats including Avro, Parquet, and ORC
Experience with data ingestion from Kafka, and the use of such data for streaming analytics
Experience with many of the following: Oozie, Zookeeper, Sqoop, Flume
Working knowledge of Hadoop data consumption via SQL front-ends, BI tools would be a big plus
Strong communication skills, both written and verbal
Ability to train and coach an Agile team in Hadoop skills and best practices

Responsibilities:
Data flows design from Kafka Event Streaming to HDFS, HBase, Hive data stores and Relational Data Mart (SQL Data Warehouse)
Support Scrum teams day to day helping code reviews and detail design walkthrough
Be hands-on to perform POCs and Tools evaluation
Performance Tuning effort
Infrastructure sizing/capacity planning