*Please share resumes at **[email protected] <[email protected]>*
*Title: Bigdata/Hadoop with DevOps, Cloud Exp* *Location: Beaverton – OR* *Duration: Long term* Bigdata, Hadoop, DevOps, Cloud Platform *H1B,H4 EAD, L2 EAD, Green Card or Citizen only* · • Linux: 5 or more years in Unix systems engineering with experience in Red Hat Linux, Centos or Ubuntu. • AWS: Working experience and good understanding of the AWS environment, including VPC, EC2, EBS, S3, RDS, SQS, Cloud Formation, Lambda and Redshift. • DevOps: Experience with DevOps automation - Orchestration/Configuration Management and CI/CD tools (Ansible, Chef, Puppet, Jenkins, etc.). Puppet and Ansible experience a strong plus. • Programming: Experience programming with Python, Bash, REST APIs, and JSON encoding. • Version Control: Working experience with one or more version control platforms (Git, TFS). Nice to have Git experience. • Hadoop: 1 year operational experience with the Hadoop stack (MapReduce, Spark, Sqoop, Pig, Hive, Impala, Sentry, HDFS). • AWS EMR: Experience in Amazon EMR cluster configuration. • ETL: Job scheduler experience like Oozie or Airflow. Nice to have Airflow experience. • Testing: Be very familiar with CI / CD, good in scripting like Phyton, Unix etc • Security: Experience implementing role based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment. • Monitoring: Hands on experience with monitoring tools such as AWS CloudWatch, Nagios or Splunk. • Backup/Recovery: Experience with the design and implementation of big data backup / recovery solutions. • Networking: Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB, HAProxy) and high availability architecture. Ability to keep systems running at peak performance, upgrade operating system, patches, and version upgrades as required -- You received this message because you are subscribed to the Google Groups "Hot List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/directclienteq. For more options, visit https://groups.google.com/d/optout.
