- Experience
- 2+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 days ago
- Work mode
- In office
- Education
- Bachelor's degree or higher
- Resume
- Required to apply
Where you'll work
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Job description
About the Team
Join Sea's Headquarters Finance department, responsible for supporting accounting and financial operations across key divisions including Garena, Shopee, and Monee throughout various regional markets. The Group Data team designs and manages scalable data systems involving ingestion, transformation, and storage through robust ETL pipelines and develops web tools that facilitate streamlined data access and manipulation. This role contributes to full-scope data projects, encompassing data modeling, ETL pipeline development, application creation, automation, and AI-driven features to enhance the financial data usage experience.
Key Responsibilities
- Build comprehensive data solutions addressing user and business needs across multiple markets.
- Aggregate data from diverse sources and architect scalable ingestion, transformation, and data modeling frameworks for the data warehouse.
- Create, test, and uphold efficient and dependable ETL processes using various technologies.
- Monitor and troubleshoot data pipeline issues related to quality, dependability, and efficiency; diagnose and implement long-term fixes.
- Work alongside data platform engineers to integrate AI capabilities into shared tools, platform components, and engineering standards.
- Incorporate AI features into existing workflows and data infrastructures, transforming them into practical AI-backed solutions for stakeholders.
- Maintain standards for data quality and governance, ensuring compliance for data management, coding practices, and documentation, while facilitating future innovations.
Candidate Requirements
- Possess a Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, Engineering, or related fields.
- At least 2 years of professional experience in data-focused roles.
- Proficient in SQL and Python programming languages.
- Prior experience with PySpark is advantageous.
- Hands-on practice in creating AI-driven data solutions, automation, or prototyping.
- Strong enthusiasm for programming and emerging technologies in data engineering.
- Excellent communication and interpersonal skills, capable of effective teamwork and demonstrating strong initiative as an independent learner.
Minimum education
Bachelor's Degree