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AWS DevOps with Python
Ref No.: 18-16444
Location: Beaverton, OR, Oregon
Skill matrix
Mandatory Skills Skill Proficiency
Years of Experience Basic Knowledge Medium Expert
AWS 2 Expert
GitHub 2 Medium
Python 2 Expert
Spark 2 Medium

  • Build and maintain development tools & processes within an AWS-based data & analytics environment:
    • Source code management and processes
    • Automated builds, deployments, and continuous integration
    • Test Automation
    • Coding Tools
  • Lead or coordinate cross-team technical enablers

  • 5+ years experience working as an engineer in a data and analytics environment
  • 3+ years experience building source control and automated deployment environments leveraging tools such as GitHub, CircleCi, Jenkins in conjunction with cloud based data & analytics development platforms
  • Experience implementing automated testing in support of continuous integration environments
  • Experience developing with scripting languages such as Python & Shell
  • Ability to coordinate and communicate across multiple teams and stakeholders
  • Strong understanding of back-end and front-end data and analytics platforms

  • Proven experience on Python, AWS Cloud Services (EC2, S3, EBS, ELB, Cloud Watch, Elastic IP, RDS, SNS, SQS, Glacier, AMI, IAM, VPC, Cloud Formation, Route53, AutoScaling) and managing security groups on AWS.
  • DevOps, Release Engineering, Configuration Management, Cloud Infrastructure, and Automation. It includes Amazon Web Services (AWS), Ant, Jenkins, CircleCI, Chef, GitHub, Airflow.
Knowledge on Virtualization and Containers (Docker).