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

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

Key Responsibilities

·   Design, deploy and operate scalable batch and streaming ingestion services in an on-premise or hybrid environment.

·   Build and support high-throughput data ingestion using Apache Kafka and dltHub or comparable ingestion frameworks.

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

·   Deploy and administer Ceph-based distributed storage, covering capacity, performance, availability and recovery.

·   Build and maintain lakehouse storage using Apache Iceberg tables and Apache Polaris catalogues.

·   Integrate ingestion and storage services with downstream Spark, Trino, ClickHouse and transformation workloads.

·   Monitor platform health, throughput, storage and logs using VictoriaMetrics and VictoriaLogs or comparable tools.

·   Troubleshoot ingestion, storage, networking, Kubernetes and production-performance issues.

·   Produce technical documentation, operating procedures and recovery runbooks.

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

Requirements

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

·   Production experience with both Docker and Kubernetes is mandatory.

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

·   Hands-on production experience with Apache Kafka and distributed ingestion architecture.

·   Practical experience deploying or administering Ceph or comparable software-defined distributed storage.

·   Experience with Apache Iceberg and data catalogues such as Apache Polaris.

·   Experience using dltHub or a comparable Python-based data-ingestion framework.

·   Strong understanding of Linux, networking, storage, high availability, performance tuning, backup 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 ingestion and storage services with Spark, Trino, ClickHouse or dbt.

This position focuses on data ingestion, distributed storage and platform infrastructure. 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: *************

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For Immediate Consideration

Please indicate the following information in your resume:

·   Current and expected salary

·   Reason or reasons for leaving

·   Availability to commence work

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