Cloud Data DevOps Engineer

AAA • Coppell, TX

1d

About The Position

If you are passionate about making an impact, utilizing cutting-edge data technology, and eager to learn and grow with talented data & analytics teams, we believe you would be a great fit and help in innovation and solving challenges. In this role, you will design, deploy, and maintain scalable and reliable cloud infrastructure on AWS and GCP, building scalability, fault-tolerance, security, and performance into our data platforms to meet growing data & analytics needs. You will develop cloud data ingestion and processing frameworks, automate routine tasks to improve efficiency, and implement and maintain CI/CD pipelines for data applications. The position involves optimizing data pipelines and processes for performance and scalability, troubleshooting and resolving issues related to data pipelines and data processing. You will work with data engineering teams, data science teams, and analytical business users to ensure best practices are followed and high-quality code is implemented. Partnering with Information Security, Application Security, and Cloud Infrastructure Services teams to ensure data security both at-rest and in-flight is crucial. You will also ensure data platforms remain current, mentor and champion an Automation mindset amongst the IT department and other business units, communicate work status, follow agile practices, and identify technology risks.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Health coverage for medical, dental, vision
• 401(K) saving plans with company match AND Pension
• Tuition assistance
• Floating holidays and PTO for community volunteer programs
• Paid parental leave
• Wellness programs
• Employee discounts (membership, insurance, travel, entertainment, services and more!)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1-10 employees