Job Description

• Build up best-in-class data infrastructure and flexible, scalable, and cost-effective ETL/ELT pipelines using modern technologies.

• Manage and optimize data lakehouse architecture and self-service tools. Ensure data is highly available, clean, and reusable to enable downstream data science initiatives and analytics.

• Partner with cross-functional teams across multiple regions to handle data, driving collaborative business growth.

• Technical execution of efficient, clean code; continuously improve existing pipelines for better performance, perform rigorous code reviews, and manage deployments across test and production environments.

• Manage and drive ownership of several key data engineering and platform modernization projects.

Job Requirements

• Degree in Computer Science or related disciplines, with at least 3 years of experience in data platform / data engineering

• Hands-on experience in ETL, data pipeline development, and data management

• Strong experience with Azure Data Platform, Databricks, and Python

• Good understanding of data management best practices

• Experience working in Agile / Scrum environments

• Strong analytical and problem-solving skills

To apply for this role, please send your full resume by MS word format to [email protected]

Only shortlisted candidate will be notified.  Personal data collected by job applicants will be kept in strict confidence and used for recruitment purpose only.