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Join our team as a Data DevOps Engineer, where you will contribute significantly to ensuring the reliability and scalability of our data systems.
You will focus on upgrading, troubleshooting, and optimizing our data infrastructure while collaborating with various stakeholders. If you have a passion for delivering robust solutions in a data-driven environment, we invite you to apply.
Responsibilities
- Manage and optimize workflows in Airflow/MWAA, Spark, and Flink for efficient data processing
- Deploy and maintain cloud-native infrastructure using AWS, Kubernetes, and Terraform
- Collaborate with stakeholders to gather requirements and provide infrastructure updates
- Upgrade, maintain, and troubleshoot data infrastructure to ensure high availability and performance
- Improve CI/CD pipelines for seamless application deployment
Requirements
- 2+ years of experience in Data DevOps with a focus on data infrastructure
- Proficiency in creating and optimizing workflows using Airflow/MWAA, Spark, and Flink
- Proficiency in Amazon Web Services for cloud solutions
- Background in Kubernetes for container orchestration
- Knowledge of Terraform for infrastructure as code
- Experience in setting up and monitoring systems using tools like Datadog
- Capability to design and enhance CI/CD pipelines using Spinnaker and Jenkins
- Fluent English communication skills at a B1+ level
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn