jobs in Sea Limited

全职 Engineer, Data Analyst 工作, 薪水, Sea Limited 公司招聘中 - Ricebowl

Engineer, Data Analyst

Sea Limited

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

About 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

  • Understand user requirements; Design data deliverables
  • Understand data source; Design data warehouse and ETL pipelines
  • Develop, deliver and maintain ETL pipelines using various technologies
  • Manage data, scripts and documentation according to compliance rules
  • Implement AI-enabled use cases and prototypes to enhance data extraction, validation, processing, and user interaction with data
  • Collaborate with data platform team and utilize AI to strive for better platform features to ease ETL development

Requirements

  • Bachelor's degree or higher in Computer Science, Business/Data Analytics, Data Science, Mathematics, Statistics or Artificial Intelligence.
  • Minimum 1 year of relevant full-time working experience in Data related roles.
  • Self-learner with a strong sense of ownership.
  • Deep understanding of SQL and Python are required
  • Hands-on experience on big data technology, such as Hadoop, Spark and Flink is preferred.
  • Hands-on experience in AI-enabled data solutions, automation, or prototyping
  • Strong analytical skill, strong verbal and written communication skills.

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