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

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