-Design and implement scalable data architectures to support the bank's data needs.

-Ensure the data infrastructure is reliable, scalable, and secure.

-Monitor and optimize data pipeline performance.

-Troubleshoot and resolve data-related issues promptly.

-Implement monitoring and alerting systems for data processes.

-Troubleshoot and resolve technical issues optimizing system performance ensuring reliability

-Create and maintain technical documentation for new and existing system ensuring that information is accessible to the team

-Implementing and monitoring solutions that identify both system bottlenecks and production issues

-Assess and recommend cloud platform products to meet business needs and performance objectives.

-Configure and manage Kubernetes clusters, ensuring high availability and resilience of applications.

-Manage network resources, ensuring secure, stable and efficient data transmission.

-Optimize platform performance to meet business and customer requirements.Track cloud service costs and implement cost control measures.

-Collaborate with team members to share knowledge and best practices, raising the skill level of the entire team.

-Develop and maintain auto CICD pipeline for deployment, integrating with Github, Jira, Nexus, Jenkins, Ansible

-Minimum 8 years’ in-depth experience with multiple technologies from the list of Hadoop, Linux, PostgreSQL, Airflow, ELK, k8s, Spark

-Good experience in hadoop admin, familiar with hadoop components

-Good experience in Unix System admin

-Strong English communication skill

-Strong analytical and problem-solving skills.

-Minimum 2 years’ experience leading a technical team.