The DevOps Data Engineer will be responsible for taking a leadership role in refactoring existing

data workflows from an on-premises infrastructure to the cloud. The ideal candidate is a hands-

on developer with extensive DevOps experience who can identify and implement the

appropriate cloud alternative to on-prem resources.

Responsibilities:

Our DevOps Data Engineers are responsible for the full data lifecycle – from exploratory data

analysis to the upkeep of production data flows. The DevOps Data Engineer focuses a majority

of their time supporting the underlying environment and infrastructure used by the rest of the

Data Engineering and Data Science teams.

Required Qualifications:

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

Active TS/SCI clearance with polygraph required #qinetiqclearedjob #DMVCAMPAIGN

Preferred Qualifications:

Familiarity with AWS CDK

Terraform, Packer

Design Concepts: REST APIs

Programming Languages: Javascript/NodeJS

Processing Tools: Presto/Trino, MapReduce, Hive