Data Engineer: Build Scalable Pipelines with Spark & Cloud

Randstad; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A technology startup in Kuala Lumpur is seeking a Mid-Level Data Engineer to design and maintain scalable data pipelines that power analytics and business intelligence initiatives. The ideal candidate should have expertise in Databricks, Apache Spark, and hands-on experience with Python and SQL. This role involves collaborating with cross-functional teams to deliver reliable data solutions, ensuring data quality through innovative practices. A Bachelor's Degree and professional proficiency in English are required.

Qualifications

• Experience with cloud-based data platforms and distributed data processing.
• Professional working proficiency in English (B2+).

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Transform and manage large datasets while ensuring data quality.
• Collaborate with cross-functional teams to deliver reliable data solutions.

Skills

Databricks & Apache Spark expertise

Hands-on coding experience in Python

SQL knowledge

Education

Bachelor’s Degree

Job description

A technology startup in Kuala Lumpur is seeking a Mid-Level Data Engineer to design and maintain scalable data pipelines that power analytics and business intelligence initiatives. The ideal candidate should have expertise in Databricks, Apache Spark, and hands-on experience with Python and SQL. This role involves collaborating with cross-functional teams to deliver reliable data solutions, ensuring data quality through innovative practices. A Bachelor's Degree and professional proficiency in English are required.