You will be part of Sea’s HQ Finance department, which plays an integral role in supporting the accounting and finance needs of our three core businesses (Garena, Shopee, Monee) and across our diverse regional market presence. Within the department, the Group Data function builds and maintains scalable data infrastructure through data ingestion, transformation, and warehousing via robust ETL pipelines, while also developing web-based tools that enable efficient access and interaction with data systems to support accurate reporting and analysis.. You will be involved in designing, developing, testing, and maintaining ETL (extract-transform-load) programs which will influence users of our products as well as internal staffs from other departments, along with collaborating with other colleagues to make decisions on technologies and product features.

 

As a data engineer, you are responsible for designing, developing, testing, and maintaining ETL (extract-transform-load) programs. We are using these programs every day to handle a large amount of data coming from our products worldwide. Your work will influence users of our products as well as internal staffs from other departments. You will work collaboratively with other colleagues to make decisions on technologies and product features.
 

• Collect data from various data sources, clean and ingest them into data warehouse
• Design data warehouse models and ETL pipelines. Develop, delivery and maintain data jobs using various technologies
• Deep dive into data jobs with performance issue, figure out the root cause, and optimize them accordingly
• Collaborate with data analysts and external users, understand and normalize their use cases on each data service, build and maintain development frameworks accordingly
• Collaborate with data platform engineers, build and maintain data engine of platform features
• Manage data, scripts and documentation in accordance with compliance rules

• Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, or related disciplines
• Familiar with one of the following programming languages: Python, Scala, Java
• Experience with one or more of the following: PySpark, Hadoop, Flink
• Experience with Linux, Shell scripting and Git will be an added advantage
• Passionate about programming and new technologies in the field
• Demonstrates strong communication and interpersonal skills, works effectively in teams, and shows a high level of ownership as a self-learner

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