Cloud Data DevOps Engineer

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.

Remarkable 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!)

About the role

We believe you would be a great fit and help in innovation and solving challenges if you are passionate about making an impact, utilizing cutting-edge data technology, and eager to learn and grow with talented data & analytics teams.

Schedule

N/A

Pay

N/A

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!)

Skills

• Automation
• troubleshooting logs
• optimizing system performance
• Cloud and data security
• Networking, Linux and Unix OS, and shell scripting
• Identifying underlying issues in Cloud services
• Data pipelines and integrations
• Cloud Automations using CloudFormation or Terraform
• Network infrastructures and protocols
• Data integration from different sources into Big Data systems
• SQL and programming languages
• Cloud Certification in DevOps in AWS or Google Cloud

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 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.