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Join our team as a Data DevOps Engineer, where you will play a key role in 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 encourage you to apply.
Responsibilities
- Manage and optimize workflows in Airflow, 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 Amazon Web Services for cloud solutions
- Skills in Apache Airflow for workflow management
- Background in Kubernetes for container orchestration
- Knowledge of Terraform for infrastructure as code
- Fluent English communication skills at a B2+ level
Nice to have
- Familiarity with Apache Flink for stream processing
- Understanding of Apache NiFi for data integration
- Capability to use Databricks for collaborative data science
- Experience with Datadog for monitoring and performance optimization
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