Platform Engineer – On-Prem Data Lakehouse & Security

Datamatics-Global-Services-Ltd; Islamabad; Sur place; PKR 24 931 000 - 38 781 000; Plein temps

Résumé du poste

Datamatics-Global-Services-Ltd is seeking an experienced Platform Engineer to install, configure, and run an on-premises modern data platform in a highly secure environment. You will handle end-to-end infrastructure setup, platform administration, and reliability across Development, QA, and Production environments.

The role focuses on deploying MinIO, Iceberg-based data lakehouse, Spark clusters, and Informatica components, with strong emphasis on IAM/PAM, AD/LDAP, SSO/RBAC, and CI/CD

Qualifications

• Must have hands-on experience with on-prem data platform deployment and operations.
• Experience in securing enterprise data platforms.
• Strong troubleshooting and incident response capabilities.

Responsabilités

• Install, configure, and administer on-prem data platform components.
• Deploy and manage MinIO and Iceberg-based data lakehouse.
• Configure Starburst/Dremio for data virtualization and querying.
• Operate Apache Spark clusters and processing services.
• Integrate Informatica components and ensure ecosystem compatibility.
• Manage Development, QA, and Production environments.
• Implement IAM/PAM, AD/LDAP, and SSO RBAC integration.
• Enable Git-based CI/CD and monitor platform health.

Connaissances

MinIO Administration

Apache Iceberg

Starburst/Dremio Administration

Apache Spark Administration

Informatica Administration

Linux System Administration

VMware Infrastructure

Git & CI/CD Integration

IAM/PAM Integration

Infrastructure Troubleshooting

Outils

Docker/Kubernetes

Description du poste

Datamatics-Global-Services-Ltd is seeking an experienced Platform Engineer to install, configure, and run an on-premises modern data platform in a highly secure environment. You will handle end-to-end infrastructure setup, platform administration, and reliability across Development, QA, and Production environments.

The role focuses on deploying MinIO, Iceberg-based data lakehouse, Spark clusters, and Informatica components, with strong emphasis on IAM/PAM, AD/LDAP, SSO/RBAC, and CI/CD