Senior Data Platform Engineer - Global Impact (Hybrid)

Visa; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global payment technology company is seeking an experienced Data Engineer to design and manage data ingestion pipelines, utilizing technologies such as Kafka, Docker, and Kubernetes. The role requires a passion for collaboration and continuous learning within a hybrid work model. Ideal candidates will have 7+ years of experience and a strong background in big data technologies, Python, and data integrity practices.

Qualifications

• 7+ years of relevant work experience with a Bachelor's Degree.
• Experience with Cloud-based Data Engineering solutions.
• Strong problem-solving and communication skills.

Responsibilities

• Design and manage data ingestion pipelines using various technologies.
• Develop applications in Docker and Kubernetes.
• Ensure data integrity and security throughout the data lifecycle.

Skills

Python

Docker

Kubernetes

Kafka

Apache Spark

Apache Hadoop

OpenSearch

Cloud Applications

Generative AI

Education

Bachelor's degree in Computer Science or related field

Master's degree or higher

Tools

Kafka

Docker

Kubernetes

Apache Spark

Apache Hadoop

OpenSearch

AWS

Azure

Job description

A global payment technology company is seeking an experienced Data Engineer to design and manage data ingestion pipelines, utilizing technologies such as Kafka, Docker, and Kubernetes. The role requires a passion for collaboration and continuous learning within a hybrid work model. Ideal candidates will have 7+ years of experience and a strong background in big data technologies, Python, and data integrity practices.