Back to SearchSenior Data DevOps Engineer
Data DevOps
& 3 others
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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