We are seeking a Senior Data DevOps Engineer to join our team supporting the migration of Spark, Flink and other services to Databricks.
You will work on building and managing scalable cloud infrastructure to optimize data processing workflows. If you have experience with AWS, Terraform, and Databricks and want to contribute to innovative data solutions, we encourage you to apply.
Responsibilities
Build, deploy, and manage Databricks infrastructure using Terraform to enable scalable data workflows
Optimize Spark and Flink workflows and orchestrate jobs for efficient pipeline execution in Databricks
Design, deploy, and maintain cloud-native infrastructure on AWS ensuring high reliability and performance
Collaborate with stakeholders to gather requirements and implement infrastructure improvements aligned with business objectives
Monitor and troubleshoot data infrastructure using tools such as Datadog to maintain high availability
Improve efficiency and reliability of CI/CD pipelines including Spinnaker and Jenkins to support continuous delivery
Ensure compliance with best practices and security standards across data infrastructure
Requirements
Proven experience with Data DevOps engineering including 3+ years in cloud infrastructure management
Strong expertise in Amazon Web Services (AWS) cloud platform
Proficiency in managing Databricks environments and related data workflows
Experience with infrastructure as code using Terraform for deployment and management
Solid knowledge of Spark and Flink data processing frameworks
Ability to optimize CI/CD pipelines and automate deployment processes
Good communication skills to collaborate effectively with cross-functional teams
Upper-Intermediate English proficiency (B2 level) for clear communication within global teams