Sr. System Engineer (Data Platform) |Site Reliability

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 120,000 - 160,000; Full time

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

• Ensure high availability and reliability of the enterprise data platform (Cloudera and Talend Big Data)
• Deliver scalable and performant data infrastructure supporting batch and near real-time workloads
• Enable secure and compliant data operations aligned with enterprise and regulatory requirements
• Improve platform automation and operational efficiency through DevOps and Infrastructure-as-Code
• Provide platform support and partnership to data engineering, analytics, and business teams

Key Responsibilities

• Data Platform Engineering & Operations
• Design, deploy, and manage large-scale data platform environments (primarily Cloudera and Talend Big Data) Operate and optimize Hadoop ecosystem components (HDFS, Hive, Spark, HBase, Impala, Iceberg, Ozone) Manage cluster lifecycle including provisioning, scaling, patching, and upgradesEnsure platform uptime, stability, and service reliability through proactive monitoring and maintenance
• Performance, Scalability & Capacity Management
• Monitor workload performance and optimize data processing efficiencyPerform capacity planning to support increasing data volumes and usageTroubleshoot performance bottlenecks across compute, storage, and query layers
• Platform Delivery & Execution Planning
• Plan and coordinate execution of platform upgrades, patching, and scaling activitiesManage deployment schedules and ensure minimal service disruptionCoordinate cross-team dependencies (infrastructure, network, security)Track and report execution progress against platform roadmap
• DevOps, Automation & Platform Engineering
• Implement Infrastructure-as-Code using tools such as Terraform and AnsibleDesign and maintain CI/CD pipelines for platform configuration Automate platform provisioning, deployment, and operational workflowsImprove observability through monitoring, alerting, and logging practices
• Security, Governance & Compliance
• Implement and manage platform security controls including authentication (Kerberos), authorization (e.g. Ranger), and encryptionEnsure compliance with enterprise data governance, security policies, and regulatory requirementsSupport auditability, access control, and data protection mechanisms
• Collaboration & Platform Enablement
• Work closely with data engineers, data scientists, and business teams to enable data solution delivery Partner with infrastructure, network, and security teams to ensure platform integration and stabilityProvide guidance, troubleshooting, and best practices to users of the platformDocument platform architecture, processes, and operational procedures

Skills &Experience

• 5- 10 years of experience in data platform engineering, big data operations, or infrastructure engineering
• Hands-on experience managing big data platforms (Cloudera CDP, Hadoop ecosystem)
• Deep understanding of Hadoop components: HDFS, Hive, Spark, HBase, and related services
• Experience with cluster operations, performance tuning, and troubleshooting
• Proficiency in automation and scripting (Python, Bash, Terraform, Ansible)
• Experience with CI/CD pipelines and DevOps practices
• Solid understanding of data platform security and access control concepts
• Analytical and problem-solving skills with a proactive mindset
• Ability to work in a fast-paced, cross-functional environment
• Good communication skills with ability to translate technical topics to stakeholders
• Ownership mentality with focus on platform reliability and continuous improvement

Good to have

• Experience with Databricks, Talend, or hybrid data platforms
• Knowledge of containerization and orchestration
• Experience with streaming platforms (e.g. Kafka) or real-time processing
• Familiarity with modern data lake-house concepts (e.g. Iceberg, Delta)
• Exposure to cloud or hybrid environments (Azure)