Refactor existing data workflows from an on-premises infrastructure to the cloud for QinetiQ US
Requirements
- Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS
- CloudFormation, Ansible, Git, Jenkins, Bash
- Programming Languages: Python, Java or Scala
- Processing Tools: Elasticsearch, Spark, Nifi, and/or Docker
- Datastore Types: Graph, NoSQL, and/or Relational
- Familiarity with AWS CDK
- Terraform, Packer
Responsibilities
- Taking a leadership role in refactoring existing data workflows from an on-premises infrastructure to the cloud
- Identify and implement the appropriate cloud alternative to on-prem resources
- Responsible for the full data lifecycle – from exploratory data analysis to the upkeep of production data flows
- Supporting the underlying environment and infrastructure used by the rest of the Data Engineering and Data Science teams
- Developing and maintaining data workflows
- Collaborating with Data Engineering and Data Science teams
- Ensuring the upkeep of production data flows
Other
- Active TS/SCI clearance with polygraph required
- If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process
- QinetiQ US is an Equal Opportunity/Affirmative Action employer
- All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status
- Commitment to the health and well-being of you and your family
