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Data Engineer

PT Sea Group Indonesia

Deskripsi pekerjaan

Posisi ini merupakan bagian dari divisi HQ Finance Sea yang berperan penting dalam mendukung kebutuhan akuntansi serta keuangan bagi tiga bisnis inti perusahaan (Garena, Shopee, Monee) dan berbagai pasar regional. Fungsi Group Data bertugas membangun serta memelihara infrastruktur data berskala besar melalui proses ingestion, transformasi, dan data warehousing via ETL pipelines yang andal, serta mengembangkan perangkat berbasis web untuk mempermudah akses dan interaksi data guna mendukung pelaporan dan analisis yang akurat.

Tanggung jawab: Deliver end-to-end data solutions to support users’ use cases across businesses and markets; Collect data from various data sources, design scalable ingestion, transformation and data modeling solutions for the data warehouse; Develop, test and maintain reliable ETL pipelines using various technologies; Monitor data pipelines and investigate data quality, reliability and performance issues, identify root causes and implement sustainable improvements; Collaborate with data platform engineers to embed AI-enabled solutions in shared frameworks, platform capabilities and engineering standards; Integrate AI capabilities into existing data solutions and workflows, turning underlying data infrastructure into practical AI-enabled solutions for users; Support data quality and governance, ensuring that data, scripts and documentation meet relevant compliance requirements and establishment of future innovation.

Kualifikasi: Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, Engineering; Minimum 2 years of relevant full-time working experience in a Data related.

Tanggung jawab

  • Deliver end-to-end data solutions to support users’ use cases across businesses and markets
  • Collect data from various data sources, design scalable ingestion, transformation and data modeling solutions for the data warehouse
  • Develop, test and maintain reliable ETL pipelines using various technologies
  • Monitor data pipelines and investigate data quality, reliability and performance issues, identify root causes and implement sustainable improvements
  • Collaborate with data platform engineers to embed AI-enabled solutions in shared frameworks, platform capabilities and engineering standards
  • Integrate AI capabilities into existing data solutions and workflows, turning underlying data infrastructure into practical AI-enabled solutions for users
  • Support data quality and governance, ensuring that data, scripts and documentation meet relevant compliance requirements and establishment of future innovation

Kualifikasi

  • Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, Engineering
  • Minimum 2 years of relevant full-time working experience in a Data related

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Tipe pekerjaan
Full-time
Pendidikan
S1
Gaji
Negosiasi

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