Singapore-Based Data Platform Engineer (12-Month Contract)

Hudson Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Employee-Centric Environment

Job summary

Hudson Singapore is seeking an experienced Data Platform Engineer to design, implement, and manage scalable enterprise data platforms at our regional Data/AI HQ in Singapore.

The role covers real-time and batch processing, ownership of data lifecycle, and delivering analytics-ready data for BI, data science and self-service analytics. Must be based in Singapore with 5+ years of hands-on data engineering experience.

Qualifications

• Bachelor's degree in IT, CS, software engineering or related discipline.
• 5+ years hands-on data engineering experience with data warehousing/data lake platforms.
• Cloud experience (Azure/AWS/Alibaba Cloud).
• Experience building and optimizing big data pipelines and datasets.
• Proficiency in Python, Scala and/or Java.
• Experience with Hadoop ecosystem (Hive/HBase/Kafka/Spark).
• Knowledge of SDLC and Agile methodologies.
• Strong stakeholder management and requirements gathering.

Responsibilities

• Design, implement, and manage scalable enterprise data platforms supporting real-time and batch processing.
• Own end-to-end data lifecycle and enable analytics-ready data assets for BI, data science and self-service analytics.

Skills

Data engineering

Python

Scala/Java

SDLC/Agile

Stakeholder management

Education

Bachelor's degree in IT/CS/Software Eng

Tools

Azure

AWS

Alibaba Cloud

Hive

HBase

Kafka

Spark

Job description

Hudson Singapore is seeking an experienced Data Platform Engineer to design, implement, and manage scalable enterprise data platforms at our regional Data/AI HQ in Singapore.

The role covers real-time and batch processing, ownership of data lifecycle, and delivering analytics-ready data for BI, data science and self-service analytics. Must be based in Singapore with 5+ years of hands-on data engineering experience.