Job description

With headquarters in Singapore and main operations across Asia, Europe, the Middle East and Latin America, Ant International is a leading global digital payment, digitization and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting-edge digital payment and financial services solutions.

We are seeking for Senior and Junior Data Engineers for our Malaysia Tech Center, work on end-to-end solutions for cross-border payments for our global merchants and globalization business.

Job Description

- Design and implement data models that support business requirements and data analytics.

- Develop, maintain, and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.

- Build and manage real-time data warehousing solutions to support business intelligence and reporting needs.

- Collaborate with tech team and other stakeholders to understand data requirements and provide data solutions.

- Ensure data security and compliance with relevant regulations and standards.

- Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.

- Stay up-to-date with the latest industry trends and technologies in data engineering and data warehousing.

Job Requirement

- Bachelor's degree in Computer Science, Data Science, Software Engineering, or any related field.

- Demonstrated expertise in data engineering, software development, data science, or other AI-focused roles.

- Proficient in creating and maintaining end-to-end ETL pipelines while maintaining high reliability and security.

- Familiar with at least one distributed computing engine (e.g. Hive, Spark, Flink).

- Familiar with data warehouse concept and have production experience in modeling design.

- Proficiency in both written and verbal English communication.

- Experience in the design of big data architecture (e.g. data governance, data compliance) is a plus.