The client is a Singapore-based data consultancy seeking a hands-on Senior Infrastructure Engineer to deploy and operate the compute and transformation layer of a large-scale on-premise data platform.

This is an initial contract position, with the potential for extension or conversion to a permanent position based on business requirements and individual performance.

Key Responsibilities

· Design, deploy and operate distributed compute, query and transformation services in an on-premise or hybrid environment.

· Containerise platform components using Docker and deploy and operate production workloads on Kubernetes.

· Build and support large-scale processing and query services using Spark, Trino and ClickHouse.

· Develop and maintain governed transformation workflows using dbt.

· Integrate compute services with Apache Iceberg tables and Apache Polaris catalogues.

· Tune workload performance, resource allocation, concurrency and reliability for terabyte- or petabyte-scale data.

· Implement monitoring and logging using VictoriaMetrics and VictoriaLogs or comparable observability tools.

· Troubleshoot distributed-system, workload, storage-integration and production-performance issues.

· Produce technical documentation, operating procedures and deployment runbooks.

· Work directly with technical stakeholders and contribute as a senior individual contributor.

Requirements

· Minimum six years of hands-on experience in data-platform, big-data infrastructure, distributed systems or a closely related role.

· Production experience with both Docker and Kubernetes is mandatory.

· Strong experience deploying and operating distributed data workloads in on-premise or hybrid environments.

· Hands-on experience with distributed compute and query technologies such as Spark, Trino and ClickHouse.

· Practical experience with data transformation and lakehouse technologies including dbt, Apache Iceberg and Apache Polaris.

· Experience monitoring platform workloads through VictoriaMetrics, VictoriaLogs or comparable technologies.

· Strong understanding of Linux, networking, resource management, performance tuning, high availability and recovery.

· Experience supporting high-volume platforms at terabyte or petabyte scale.

· Ability to operate independently and communicate effectively with client and technical stakeholders.

· Willingness to accept a six-to-twelve-month contract and attend client locations when required.

Preferred Experience

· Data-platform delivery within regulated sectors such as banking, fintech, healthcare or data centres.

· Experience with Kubernetes Operators, Helm, CI/CD and infrastructure automation.

· Experience integrating compute engines with distributed storage such as Ceph.

This position focuses on the compute and transformation infrastructure of a data platform. It is not primarily a business-intelligence, dashboarding, visualisation or data-analyst role.

How to Apply

Submit your application by emailing your updated resume in MS Word format to:

Wills Heng Wei He
EA Personnel Registration No. R1549842
Email: [email protected]

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