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Join our team as a Senior Data DevOps Engineer, where you will take charge of ensuring the reliability and scalability of our data systems.
Your focus will be upgrading, troubleshooting, and optimizing our data infrastructure while working with different stakeholders. If you are passionate about delivering robust solutions in a data-driven environment, we welcome your application.
Responsibilities
- Manage workflows in Airflow, Spark, and Flink to enable efficient data processing
- Deploy cloud-native infrastructure using AWS, Kubernetes, and Terraform
- Collaborate with stakeholders to gather requirements and deliver infrastructure updates
- Upgrade and troubleshoot data infrastructure to maintain high availability and performance
- Improve CI/CD pipelines to ensure seamless application deployment
Requirements
- 3+ years of relevant experience in Data DevOps with emphasis on data infrastructure
- Proficiency in Amazon Web Services for delivering cloud solutions
- Skills in Apache Airflow for managing workflows
- Background in Kubernetes to handle container orchestration
- Knowledge of Terraform to manage infrastructure as code
- Fluent communication in English at a B2+ level
Nice to have
- Familiarity with Apache Flink for processing data streams
- Understanding of Apache NiFi to support data integration tasks
- Capability to leverage Databricks for collaborative analytics
- Experience in using Datadog to enhance monitoring and optimize performance
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