Job Title: Big Data Engineer
Location: Deerfield, IL
Duration: Long term
Rate: $63/hr on C2C
• 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
• Spark, AZURE
• 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
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