Data Engineer

Shopee • Commerce • Bachelor's Degree • Python • SQL • Scala • 9 hours ago
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Salary
≈ $59k – $167k per year (Estimated)
Location
In office (Jakarta)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 24, 2026.

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Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Commerce • 1001-5000 employees • Est. 2015
  • Design and develop data marts and data warehouses to support business intelligence and data analytics initiatives within the project lifecycle.
  • Handle end-to-end data pipelines from multiple internal and external sources, ensuring high performance, scalability, and establishing a Single Source of Truth for project deliverables.
  • Collaborate closely with Data PMs, Business Intelligence Analysts, and engineering team members to transform complex data into actionable business insights within designated project timelines.
  • Implement and maintain data management best practices across all project pipelines, focusing on data quality, security, and privacy.
  • Execute software development best practices, including test-driven development and code documentation, to ensure robust and maintainable data infrastructure.
  • Hold a Master's or Bachelor's degree in Computer Science, Information Systems, or other quantitative-based majors (Science or Engineering)
  • Possess 2 to 4 years of hands-on working experience in data engineering, data pipeline development, or data architecture.
  • Demonstrated expert-level proficiency in SQL, Spark, HDFS, or big data processing frameworks.
  • Expert knowledge of Object-Oriented and Functional Programming, with a strong preference for Python or Scala.
  • Solid experience working in UNIX environments, with deep understanding of batch processing, lambda architecture, and Kimball data modeling concepts.
  • Proficient in Software Development Life Cycle (SDLC) practices, including version control, test-driven development, and technical documentation.
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