Senior Data Platform Engineer — Availability & Automation

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD

Singapore

On-site

SGD 120,000 - 160,000

Full time

14 days+
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Job summary

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD is seeking a Data Platform Engineer to own the enterprise data platform operations. You will design, implement, and manage large-scale environments using Cloudera and Talend Big Data, ensuring high availability, security, and performance for batch and real-time workloads.

You will lead automation via Terraform and Ansible, maintain CI/CD pipelines, and collaborate with data engineers and business teams to deliver reliable data solutions.

Qualifications

  • Experience in data platform engineering or big data operations.
  • Hands-on experience with Cloudera CDP and Hadoop ecosystem.
  • Proficiency in automation and scripting (Python, Bash).
  • Experience with CI/CD pipelines and DevOps practices.
  • Strong understanding of data platform security and access controls.

Responsibilities

  • Ensure high availability and reliability of data platform (Cloudera, Talend).
  • Deliver scalable, performant data infra for batch and near real-time workloads.
  • Enable secure and compliant data operations per regulatory requirements.
  • Improve platform automation and operational efficiency via IaC and DevOps.
  • Provide platform support and guidance to data engineers, analysts, and business teams.

Skills

Python
Bash
CI/CD
DevOps practices
Analytical thinking
Communication
Ownership mindset
Platform reliability
Monitoring & observability

Tools

Terraform
Ansible
Hadoop ecosystem
Kubernetes

Job description

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD is seeking a Data Platform Engineer to own the enterprise data platform operations. You will design, implement, and manage large-scale environments using Cloudera and Talend Big Data, ensuring high availability, security, and performance for batch and real-time workloads.

You will lead automation via Terraform and Ansible, maintain CI/CD pipelines, and collaborate with data engineers and business teams to deliver reliable data solutions.

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