Senior Data Engineer - Hybrid KL | Scalable Data Pipelines

Trades Workforce Solutions; Kuala Lumpur; Hybrid; MYR 100,000 - 150,000; Full time

Job summary

A leading data solutions provider based in Kuala Lumpur is seeking a Senior Data Engineer to join their Data and AI team. This role offers a hybrid work model and presents challenges in developing high-performance data pipelines and infrastructure. Ideal candidates have over 5 years of experience in data engineering, strong skills in Apache Spark and cloud platforms, and business-level proficiency in Mandarin for communication with teams in China. Opportunities for mentorship and collaboration with cross-functional teams are essential parts of this position.

Qualifications

• 5+ years of hands-on experience in data engineering roles, preferably within large-scale or product-based environments.
• Experience architecting and deploying data solutions on AWS, Azure, or GCP.
• Business-level proficiency in Mandarin to coordinate effectively with teams in China.

Responsibilities

• Design, build, and maintain scalable and reliable ETL pipelines for data processing.
• Architect, deploy, and optimize cloud-based data solutions for high-volume workloads.
• Mentor junior engineers and provide technical guidance.
• Collaborate closely with data scientists, engineers, and product managers.

Skills

Apache Spark

Airflow

Hadoop

Kafka

Python

Java

Scala

Cloud platforms (AWS, Azure, GCP)

Job description

A leading data solutions provider based in Kuala Lumpur is seeking a Senior Data Engineer to join their Data and AI team. This role offers a hybrid work model and presents challenges in developing high-performance data pipelines and infrastructure. Ideal candidates have over 5 years of experience in data engineering, strong skills in Apache Spark and cloud platforms, and business-level proficiency in Mandarin for communication with teams in China. Opportunities for mentorship and collaboration with cross-functional teams are essential parts of this position.