We are looking for Infrastructure Engineer- Hadoop for our direct client at Chicago, IL or Richardson,TX. Bachelor's Degree and 5 years in Information Technology or relevant experience OR Technical Certification andor College Courses and 7-year Information Technology experience OR 9 years Information Technology experience. Experience or Advance Knowledge with HDFS, Spark, MapReduce, Hive, HBase, ZooKeeper, Impala, SOLR, Oozie, NiFi, Flink, Sqoop, Pig, MongoDB, KAFKA and Flume. 4+ years of experience with Big Data solutions and techniques. 4+ years of Hadoop application infrastructure engineering and development methodology background. Experience with Ambari, Hortonworks, HDInsight, Cloudera distribution (CDH) and Cloudera Manager is preferred. Experience in the cloud (AzureAWS) big data solutions using EMR, HDInsight, Kinesis, Azure Event Hubs, etc. Experience with evaluating COTS applications. Strong understanding and experience with different SaaS, PaaS, IaC, IaaS, DBaaS cloud models. Strong knowledge in Cloud Data warehouses like Synapse, CDP, SQL Data warehouse, etc. Strong Programming Experience with Red Hat Linux, UNIX Shell Scripting, Java, Python, Scala, RDBMS, NoSQL, and ETL solutions. Experience with Kerberos, TLS encryption, SAML, LDAP. Experience with designing application solutions that make use of enterprise infrastructure components such as storage, load-balancers, 3-DNS, LANWAN, and DNS. Expertise in common Hadoop file-formats including Avro, Parquet, and ORC. Experience with automation using Ansible, CloudFormation, ARM, PowerShell, etc. Experience distributed systemsdata lake and MPP databases capable of efficiently processing Terabytes of data using Teradata, Hadoop, Netezza, etc. Planning deploying new Hadoop Infrastructure, Upgrades, Cluster Maintenance, Troubleshooting, Capacity Planning, and Resource optimization as part of Infrastructure Operations.