Senior Data Engineer — Hadoop, Spark & OpenShift

BOUNTEOUSXACCOLITE SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading digital transformation consultancy in Singapore is looking for a Senior Data Engineer to design and maintain data pipelines. The ideal candidate should have over 6 years of experience, be proficient in Hadoop, Spark, and containerization platforms like OpenShift. The role involves collaborating with cross-functional teams, ensuring data quality, and implementing data governance practices. Join a dynamic environment with opportunities for growth and innovation.

Benefits

Inclusive work environment

Career growth opportunities

Partnerships with leading technology providers

Qualifications

• At least 6 years of experience as a Data Engineer, working with Hadoop and Spark.
• Strong expertise in designing data infrastructure using Hadoop and related tools.
• Experience with containerization platforms like OpenShift and Kubernetes.

Responsibilities

• Implement data transformation processes for analytics and machine learning.
• Collaborate with teams to understand data requirements and create solutions.
• Ensure data quality and integrity throughout the processing lifecycle.

Skills

Hadoop

Spark

OpenShift Container Platform (OCP)

Python

Scala

Java

Education

Bachelor's degree in computer science, Information Technology, or a related field

Tools

Docker

Jenkins

Ansible

BitBucket

Job description

A leading digital transformation consultancy in Singapore is looking for a Senior Data Engineer to design and maintain data pipelines. The ideal candidate should have over 6 years of experience, be proficient in Hadoop, Spark, and containerization platforms like OpenShift. The role involves collaborating with cross-functional teams, ensuring data quality, and implementing data governance practices. Join a dynamic environment with opportunities for growth and innovation.