Data Platform Engineer

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Description

Accountabilities: - You will take ownership of the design, deployment, operation, and continuous improvement of data platforms, collaborating with developers, managers, and internal and external stakeholders to deliver reliable and scalable solutions. Your responsibilities will include: Design, deploy, and operate data platforms supporting databases, real-time streaming, and data processing technologies such as Kafka, Flink, and Debezium/Change Data Capture (CDC). - Manage cloud-native data services across Kubernetes-based environments and managed services, including database platforms and Database-as-a-Service (DBaaS) solutions. - Evaluate and prototype new technologies and service providers while ensuring security, compliance, reliability, and operational readiness. - Apply DevOps and SRE principles to automate infrastructure provisioning, configuration, deployment, and maintenance using tools such as Terraform, Terragrunt, Ansible, GitLab CI/CD, Argo CD, Vault, Python, and Bash. - Develop reusable infrastructure modules, automation workflows, and standardized deployment paths that enable development teams to provision and consume data services through self-service. - Reduce manual operations, repetitive tasks, and technical debt while contributing to the migration and modernization of legacy data systems. - Design and maintain high-availability, resilient, and fault-tolerant architectures, including backup, recovery, replication, and failover strategies. - Monitor and opti

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