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DevOps Data Analytics Engineer

Request Technology - Craig Johnson

Posted on Mar 24, 2022 by Request Technology - Craig Johnson

Coppell, TX 75019
Immediate Start
$100k - $130k Annual

*We are unable to sponsor for this permanent Full time role*

*Position is bonus eligible*

Prestigious Financial Company is currently seeking a DevOps Data Analytics Engineer. Candidate will be part of the Data team and will be responsible for crafting and building cloud-based applications and data systems that will serve as the backbone for the enterprise data management and analytics capabilities. Candidate will join the core team responsible for the design, development, and implementation.


Work closely with internal and external business and technology partners to define system architecture, technology stack and its tactical implementation.

Help us take on unique technical challenges associated with handling large datasets and managing streaming data in public cloud and hybrid environments, build large and complex data pipelines, integrate data coming from diverse sources in different formats, implement continuous integration/continuous delivery pipelines, automate everything we can get our hands on

Be part of the API-first design principle implementation.


  • Minimum 5 years of experience in software development
  • Hands-on experience working in DevOps culture focusing on automation and process improvement
  • Ability to handle Back End development tasks, building scalable distributed data solutions
  • Understanding of the software development life cycle (SDLC) in Waterfall, Lean, and Agile work environments
  • Strong analytical and problem-solving skills
  • Desire and ability to learn other programming languages
  • Excellent oral and written communication skills
  • Work experience in the capital markets, preferred
  • 5+ years of programming experience using Python or Java with strong hands on experience writing automated tests
  • 3+ years of hands experience with continuous integration and continuous delivery (CI/CD) pipelines, tools, and technologies such as GitHub, Jenkins, Artifactory, Docker, Ansible, Terraform
  • 3+ years of experience delivering technology in a DevOps and Cloud Engineering environment
  • Scripting experiences with Shell, python, ruby, or similar languages
  • Experience working with Cloud ecosystems (AWS, Azure, GCP, AWS preferred) in multi-availability zone, multi-region deployments
  • Hands-on experience with Kubernetes and container orchestration tools and technologies such as Rancher and EKS
  • Good understanding of data integrations patterns, technologies, and tools
  • Familiarity with Big Data processing technologies and frameworks such as Presto, Hadoop, Spark, Flink and with different types of data formats and structures such as like JSON, Protobuf, Avro is desirable
  • Experience with distributed message brokers such as Kafka, ActiveMQ, or Amazon Kinesis is desirable
  • Experience with Hygieia DevOps dashboard and integration with DevOps tools is a plus
  • BS degree in Computer Science, similar technical field, or equivalent practical experience
  • AWS Certified Solution Architect Associate Level is a plus
  • Big data related certification is a plus

Reference: 1540221492

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