Join our team as a Data DevOps Engineer , where you will play a crucial role in supporting the Ads Organization by ensuring the reliability and scalability of our data infrastructure.

You will focus on upgrading systems, optimizing CI/CD pipelines, and collaborating with stakeholders to deliver robust solutions in a data-driven environment. We encourage you to apply and be part of this exciting journey.

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

• Experience in Data DevOps with 2+ years in the field
• Proficiency in Amazon Web Services
• Background in Apache Airflow
• Skills in Kubernetes
• Familiarity with Terraform
• Fluent English communication skills at a B2+ level
  
  
  

Nice to have

• Understanding of Apache Flink
• Knowledge of Apache NiFi
• Experience with Databricks
• Familiarity with Datadog
  
  
  

We offer

• 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