re-zoo-me · Singapore, Singapore ·
Data engineer in Sea's HQ Finance Group Data team, designing, building and maintaining ETL pipelines and data warehouse models that ingest and process large volumes of data from Garena, Shopee and Monee, while optimizing job performance and building data tools. Core stack: Python/Scala/Java, PySpark/Hadoop/Flink, Linux, Git.
SEA · Singapore
SEA Singapore · Singapore, Singapore
Shopee · Singapore
Atlantic Packaging Products Ltd · Toronto, Canada
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.
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.
S&P Global · Gdansk, POL