Designs and maintains ETL pipelines to ingest, clean, and warehouse large-scale data for Sea’s finance team, enabling accurate reporting and analysis across Garena, Shopee, and Monee.
About the Team:
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 play an important role in delivering high quality and comprehensive analysis to support the respective business needs. Besides applying your strong technical knowledge in our projects, you will be involved in designing and implementing innovative elements to meet the needs of our growing business.
Job Description:
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
Requirements:
Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, or related disciplines
Self-learner with a strong sense of ownership
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 and Shell scripting
Experience with Git will be an added advantage
Passionate about programming and new technologies in the field
Strong written and verbal communication skills
Strong interpersonal skills and team player