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SEA

Singapore / Global

Data Engineer/Senior Engineer

Job Description

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

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