Cloud Data DevOps Engineer
HybridCoppell, Texas, United States
Job Summary
Design, deploy, and maintain scalable cloud infrastructure on AWS and GCP while building fault-tolerance and security into data platforms. Develop ingestion and processing frameworks, automate routine tasks, and implement CI/CD pipelines for data applications. Optimize pipelines for performance, troubleshoot processing issues, and partner with security teams to ensure data integrity. Mentor the IT department on automation best practices and communicate work status to management using agile procedures. This hybrid role requires on-site availability three days a week within a 100-mile radius of the Coppell, TX office, alongside monthly collaboration days.
Required Qualifications
- Extensive hands-on expertise in Automation, troubleshooting logs, and optimizing system performance
- Deep understanding of Cloud and data security in AWS or Google Cloud
- Good experience with networking, Linux and Unix OS, and shell scripting
- Demonstrated aptitude for identifying the underlying issues in Cloud services such as Glue, Lambda, Big Query, and Cloud Functions
- Good experience with Cloud platforms AWS and/or Google Cloud in supporting Data pipelines and integrations
- Experience with Cloud Automations using CloudFormation or Terraform
- Good understanding of network infrastructures and protocols such as TCP/IP, TLS
- Familiarity with SQL and programming languages such as Python, Spark, YAML, and Bash
- Must reside within a 100-mile radius of our Coppell TX office
- Must be available to work on-site 3 days a week on a regular basis
- Must be available to work 2–3 times per month for team meetings and collaboration days
Desired Qualifications
- Familiarity with data integration from different sources into Big Data systems is preferable
- Cloud Certification in DevOps in AWS or Google Cloud is a plus
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.