Job Details

Job Posting

Job Opening ID: 5591

Date Opened: 07/15/2019

Job Type: Contract

Language Skills: English

Location: Beaverton, Oregon

Industry: IT Services

City: Beaverton

State/Province: Oregon

Country: United States

Zip/Postal Code: 97006

Job Description

Required Experience

• 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 HBase.
• Networking: Working knowledge of TCP/IP networking, SMTP, HTTP and HTTPS, load-balancers (ELB, HAProxy), NGINX and high availability architecture.
• Programming: Experience programming with AWS lambda, java, Python, node.js, Bash, REST APIs, and JSON encoding.
• DevOps Automation: Experience with DevOps - Orchestration/Configuration Management and CI/CD tools (Jenkins, CircleCI, Atlantis, Puppet, Jenkins, Troposphere, Terraform, Serverless, etc.).
• Monitoring: Hands on experience with monitoring tools such as AWS CloudWatch, SignalFx and Splunk.
• ELK Stack: Experience with setting up ELK stack for Analytics.
• Version Control: Working experience with one or more version control platforms (Bitbucket, Github).
• AWS EMR: Experience in Amazon EMR cluster configuration.
• ETL: Job scheduler experience like Airflow or Data Pipeline. Nice to have Airflow experience.
• Hadoop: 1 year operational experience with the Hadoop stack (MapReduce, Spark, Sqoop, Hive, Impala, Sentry, HDFS).
• Security: Experience implementing role based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment.
• Backup/Recovery: Experience with the design and implementation of big data backup / recovery solutions.
• Ability to keep systems running at peak performance, upgrade operating system, patches, and version upgrades as required.
• Lead other admins and platform engineers through design and implementation decisions to achieve balance between strategic design and tactical needs.
• Research and deploy new tools and frameworks to build a sustainable big data platform.
• Agile/Scrum/Kanban experience.
• Demonstrated communication and interpersonal skills.
• Proven track record of success in fast-moving organizations with complex technology applications.
• Collaborate with Project Managers, Product Managers, QA and Engineering teams to deliver results.