Job Title: Big Data Developer
Location: Deerfield, IL
Duration: 6+ Months
Must have 5+ years of hands on experience with spark , and big data ecosystem, including building data pipeline solutions involving spark, kafka, hadoop / cassandra / mongodb/hbase.
Proficiency in Java server side frameworks - Spring, Spring Boot, and 2 to 4 years’ experience on Hadoop Platform (HDFS, Hive, HBase, Spark, oozie, Impala etc.)
Must be hands on and strong in spark, spark sql, spark streaming, ETL using spark technology.
Scala spark programming a must.
Python preferred. Java a plus.
Database administration or development with a NoSQL database
Strong analytic skills related to working with unstructured data sets
Should have 5+ years of implementation experience in (AWS, Azure Cloudera) any one of the Hadoop distribution with its ecosystem.
Should have experience in Azure Cloud Platform.
Experience with major big data technologies and frameworks including but not limited to Spark / Scala, MapReduce, Hadoop, Hive, HBase, Pig, Zookeeper
Azure, spark, bigdata skillsets; For Azure our focus would be Data factory, SQL Data warehouse, CICD/Containers-Dockers, micro services etc. Java background would be better as its foundational