Akkodis is currently seeking a Senior Hadoop Admin for an 18-month contract with a reputable client based in Chicago, IL or Charlotte, NC (Hybrid). We are looking for candidates with a solid background in Hadoop Admin, particularly with expertise in Cloudera HBase, Kafka, Impala, SOLR, Hue. For additional job openings at Akkodis or if you have any questions, feel free to contact Anand Chaubey at anand.chaubey@akkodisgroup.com . Pay Range: $65-$72/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Position Summary • Hadoop Admin Ops / SRE role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). • Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc. • DevOps Analyst is involved in the full life cycle of an application and part of an agile development process. They require the ability to interact, develop, engineer, and communicate collaboratively at the highest technical levels with clients, development teams, vendors and other partners. The following section is intended to serve as a general guideline for each relative dimension of project complexity, responsibility and education/experience within this role. • Works on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise • Team member will be expected to provide subject matter expertise in managing Hadoop and Data Science Platform operations with focus around Cloudera Hadoop, Jupyter Notebook, Openshift, Docker-Container Cluster Management and Administration • Integrates solutions with other applications and platforms outside the framework • He / She will be responsible for managing platform operations across all environments which includes upgrades, bug fixes, deployments, metrics / monitoring for resolution and forecasting, disaster recovery, incident / problem / capacity management • Serves as a liaison between client partners and vendors in coordination with project managers to provide technical solutions that address user needs • Hadoop, Kafka, Spark, Impala, Hive, Hbase etc. • Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator's role • Intimate knowledge of fully integrated AD/Kerberos authentication • Experience setting up optimum cluster configurations • Debugging knowledge of YARN. • Hands-on with analyzing various Hadoop log files, compression, encoding, file formats • Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres • Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure. • Experience in Monitoring Alerting, and Job Scheduling Systems • Being comfortable with frequent, incremental code testing and deployment • Strong grasp of automation / DevOps tools - Ansible, Jenkins, SVN, Bitbucket • Experience working on Big Data Technologies • Cloudera Admin / Dev Certification • Certification in Cloud, Docker-Container, Openshift Technologies Primary Skill • Hadoop and Cloudera Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy . The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance Anand Chaubey Sr. Resource Development Manager Email: anand.chaubey@akkodisgroup.com