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Datamatics Technologies

Platform Engineer( On-Premises)

Bengaluru, Karnataka, India3-5 yrsPosted today

Skills

GitDockerKubernetesDevOpsSparkQuality AssuranceData Engineering

Job description

Work Location: Saudi Arabia (KSA)

Experience: 3–5 Years

Job Title: Data Platform Engineer

Employment Type: Full-Time

Work Mode: On-site / Hybrid, based on project requirements

Education: Bachelor’s Degree in Computer Science or a related field

Engagement Duration: 3–5 Months

Environment: On-Premises | Dev, QA & Production

Job Summary

We are looking for a hands-on Data Platform Engineer with strong experience in the installation, configuration, administration, and support of data platform components in on-premises environments .

The role requires experience with platform administration, VMware-based infrastructure, Git integration, and enterprise security integration involving IAM and PAM . The engineer will be responsible for supporting platform deployment, configuration, maintenance, troubleshooting, and operational activities across Development, QA, and Production environments .

The ideal candidate should also have a solid understanding of infrastructure, networking, storage, security, and container technologies such as Docker and Kubernetes .

Key Responsibilities

Install, configure, deploy, and maintain data platform components in on-premises environments .

Perform day-to-day Data Platform Administration , monitoring, maintenance, upgrades, and operational support.

Deploy and support data platform components running on VMware-based infrastructure .

Integrate platform configurations and deployment processes with Git-based version control .

Integrate data platforms with enterprise security solutions, including IAM and PAM .

Support platform deployment and operations across Development, QA, and Production environments .

Monitor platform availability, performance, capacity, resource utilization, and overall platform health.

Troubleshoot and resolve platform, infrastructure, deployment, configuration, storage, network, and integration issues.

Support containerized platform components using Docker and/or Kubernetes , where applicable.

Collaborate with Data Engineering, Infrastructure, DevOps, Security, Network, and Application teams to maintain a stable, secure, and highly available data platform.

Must-Have Skills

3–5 years of relevant experience in Data Platform Engineering, infrastructure, or Platform Administration.

Strong hands-on experience with installation and configuration of data platform components in on-premises environments .

Strong understanding and hands-on experience in Platform Administration .

Experience working with VMware-based infrastructure .

Hands-on experience integrating platforms and deployment/configuration processes with Git .

Experience with enterprise security integrations involving IAM and PAM .

Good knowledge of platform deployment, configuration, maintenance, upgrades, monitoring, and troubleshooting .

Experience supporting Development, QA, and Production environments .

Good understanding of infrastructure, networking, storage, backup/recovery, and security concepts relevant to enterprise data platforms.

Exposure to Docker and/or Kubernetes for containerized platform deployments.

Good-to-Have Skills

Experience with MinIO and Apache Iceberg .

Experience with Starburst or Dremio .

Experience with Apache Spark .

Experience with Informatica .

Understanding of modern Data Lake and Data Lakehouse architectures .

Apply on Datamatics Technologies