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Join our team as a Senior Data DevOps Engineer, where you will play a crucial role in ensuring the reliability and scalability of our data infrastructure.
Your expertise will focus on upgrading and troubleshooting systems, optimizing CI/CD pipelines, and collaborating with stakeholders to deliver robust solutions in a data-driven environment. We encourage you to apply and contribute to our mission.
Responsibilities
- Manage and optimize workflows in Airflow, Spark, and Flink for effective data processing
- Deploy and maintain cloud-native infrastructure using AWS and Kubernetes
- Collaborate with stakeholders to gather requirements and provide infrastructure updates
- Upgrade, maintain, and troubleshoot data infrastructure to ensure high availability and performance
- Enhance CI/CD pipelines for seamless application deployment
- Utilize Terraform for infrastructure as code solutions
- Monitor and improve system performance using Datadog
Requirements
- Experience in Data DevOps for 3+ years
- Proficiency in Amazon Web Services
- Expertise in Apache Airflow
- Understanding of Kubernetes
- Knowledge of Terraform
- Familiarity with CI/CD practices
- Upper-Intermediate English proficiency
Nice to have
- Experience with Apache Flink
- Familiarity with Apache NiFi
- Background in Databricks and Datadog
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