Data Engineer/Senior Engineer Finance Singapore Sea Corporate

SEA Singapore; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

SEA Singapore is looking for a data engineer to design, develop, and maintain ETL programs that handle large data quantities from its products globally. You will collaborate with various departments to make technology decisions and ensure efficient data access. The ideal candidate should have a Bachelor's degree in a relevant field along with experience in Python, Scala, or Java, and familiarity with data processing technologies.

This role offers a dynamic environment where your skills in programming and data analysis will contribute to the ongoing success of the company.

Qualifications

• Bachelor's degree or higher in Computer Science or related disciplines.
• Self-learner with a strong sense of ownership.
• Familiar with programming languages: Python, Scala, or Java.
• Experience with ETL frameworks like PySpark, Hadoop, or Flink.
• Experience with Linux and Shell scripting.

Responsibilities

• Design, develop, test, and maintain ETL programs.
• Collect and clean data from various sources.
• Design data warehouse models and ETL pipelines.
• Deep dive into performance issues and optimize accordingly.
• Collaborate with data analysts to understand use cases.

Skills

Python

Scala

Java

Education

Bachelor's degree in Computer Science, Business Analytics, Mathematics

Tools

PySpark

Hadoop

Flink

Linux

Git

Job description

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