Cloud Data DevOps Engineer

Note: This is a hybrid role; the candidate must reside within a 100-mile radius of our Coppell TX office and be available to work on-site 3 days a week on a regular basis, as well as 2–3 times per month for team meetings and collaboration days.

What You’ll Do 

• Design, deploy, and maintain scalable and reliable cloud infrastructure on AWS and GCP. 

• Build scalability, fault-tolerance, security, and performance into our data platforms to meet our growing data & analytics needs. 

• Develop cloud data ingestion and processing frameworks. 

• Automate routine tasks to improve efficiency and reduce manual intervention. 

• Implement and maintain CI/CD pipelines for data applications. 

• Optimize data pipelines and processes for performance and scalability. 

• Troubleshoot and resolve issues related to data pipelines and data processing. 

• Work with our data engineering teams, data science teams, and analytical business users to review and ensure best practices are followed and high-quality code gets implemented. 

• Partner with our Information Security, Application Security, and Cloud Infrastructure Services teams to ensure data is secure both at-rest and in-flight. 

• Ensure data platforms remain current to take advantage of the latest features and support. 

• Mentor, teach, champion, and encourage an Automation mindset amongst the IT department and other business units.

• Communicate the status of assigned work to management and follow agile practices, standard procedures, and policies. 

• Seek guidance when direction is needed and speak up about technology risks identified. 

What You’ll Need 

• 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 data integration from different sources into Big Data systems is preferable. 

• Familiarity with SQL and programming languages such as Python, Spark, YAML, and Bash. 

• Cloud Certification in DevOps in AWS or Google Cloud is a plus. 

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