Develop, construct, test and maintain data architectures, set or model based on business requirement
Support and solve integration issues, either at application level or infra and network level Identify the bottlenecks in the existing data pipelines, propose and lead the efforts to optimize and automating the data pipeline works
Leverages on variety of programming languages & data crawling/processing tools to ensure data reliability, quality and efficiency
Provide data integration (including cloud) following project standards and architecture in a standardize manner
Provide data ETL/ELT between multiple data layers in Operational Data Hub
Ensure lake architecture is following company\'s approved architecture
Requirements
Degree / Diploma in Computer Engineering with at least 2 - 5 years of related experiences
Minimum 2 years of being in senior data engineer role
Optional: Experience in Data Transformation using ETL/ELT tools such as AWS Glue (Python), AWS Eventbridge, AWS Quicksight
Shortlisted candidates will be offered a 1 Year Agency Contract employment.