Senior Data Warehouse Engineer — Build Scalable Pipelines

OKX; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading digital asset exchange in Singapore is looking for a Data Engineer to design and build data pipelines. The ideal candidate will have strong expertise in data processing tools like Spark and experience with both batch and streaming data pipelines. Responsibilities include architecting cloud-based data infrastructure and collaborating with diverse teams to improve data-driven platforms and solutions. Candidates should be fluent in English and have a Bachelor's in Computer Science or equivalent experience.

Qualifications

• Bachelor’s Degree in Computer Science or related field.
• Solid experience with data processing tools such as Spark and Flink.
• Experience implementing both batch and streaming data pipelines.

Responsibilities

• Design and build resilient data pipelines for batch and real-time data.
• Architect data infrastructure using cloud tools.
• Collaborate with product managers and engineers to build data-driven platforms.

Skills

Data processing tools (e.g., Spark, Flink)

Python/Go/Scala/Java

SQL and NoSQL databases

DevOps tools (Git, Docker, k8s)

Cloud services (AWS, Ali Cloud, GCP, Azure)

Data analysis

Education

Bachelor’s Degree in Computer Science or equivalent experience

Tools

Git

Docker

k8s

Amplitude/Tableau/QlikView

Hadoop

Job description

A leading digital asset exchange in Singapore is looking for a Data Engineer to design and build data pipelines. The ideal candidate will have strong expertise in data processing tools like Spark and experience with both batch and streaming data pipelines. Responsibilities include architecting cloud-based data infrastructure and collaborating with diverse teams to improve data-driven platforms and solutions. Candidates should be fluent in English and have a Bachelor's in Computer Science or equivalent experience.