Data Engineer: Build Scalable Pipelines for Analytics

Love, Bonito; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading fashion brand in Kuala Lumpur is seeking a Data Engineer to enhance the reliability and efficiency of their data infrastructure. The role involves optimising pipeline performance, implementing data quality measures, and ensuring strong operations and governance practices. Ideal candidates will have a degree in Computer Science and 2-4 years of relevant experience, with strong skills in Python and cloud services like AWS.

Qualifications

• 2-4 years of data engineering experience.
• Proven track record of building and maintaining production data pipelines at scale.
• Strong problem-solving skills with focus on systematic root cause analysis.

Responsibilities

• Update documentation of existing data pipelines.
• Refactor legacy code for improve scalability and performance.
• Implement comprehensive data quality checks.
• Troubleshoot pipeline failures and perform root cause analysis.

Skills

Data Warehousing

Python

SQL

Problem-solving

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS Cloud Services

Docker

Kubernetes

Job description

A leading fashion brand in Kuala Lumpur is seeking a Data Engineer to enhance the reliability and efficiency of their data infrastructure. The role involves optimising pipeline performance, implementing data quality measures, and ensuring strong operations and governance practices. Ideal candidates will have a degree in Computer Science and 2-4 years of relevant experience, with strong skills in Python and cloud services like AWS.