Data Warehouse Architect

22 hours ago

Singapore beBeeDataWarehouse Full time

Global E-Commerce Data Warehouse Professional

We are seeking a skilled Global E-Commerce Data Warehouse Professional to join our team. This role is responsible for the offline data warehouse construction of global ecommerce security, including data layering, model design, ETL process, etc.

The ideal candidate will have experience in big data ecosystem development, familiar with technologies such as Spark, Flink, Clickhouse, Hadoop, and practical experience with Lambda/Kappa architectures. Additionally, they should be proficient in data warehouse implementation methodologies, with a deep understanding of data warehouse systems, and experience supporting real-world business scenarios.

  • Responsibilities:
    • Responsible for the offline data warehouse construction of global ecommerce security, including data layering, model design, ETL process, etc.
    • Establish data warehouse standards for global ecommerce security to ensure data accuracy and consistency.
    • Collaborate with the security team in optimising their offline tasks to ensure system stability and improving resource efficiency.
    • Assist in identifying risk indicators through data analysis to support the development of key security projects.
    • Support realtime data processing pipelines, including tagging systems and realtime ETL infrastructure.
    • Visualise, interpret, and report data findings and may create dynamic data reports as well.

Required Skills and Qualifications:

  • Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.
  • Experience in big data ecosystem development, familiar with technologies such as Spark, Flink, Clickhouse, Hadoop, and practical experience with Lambda/Kappa architectures.
  • Proficient in data warehouse implementation methodologies, with a deep understanding of data warehouse systems, and experience supporting real-world business scenarios.
  • Experience in SQL performance tuning, with an understanding of Hive SQL development.

Benefits:

  • Opportunity to work on cutting-edge data warehouse projects.
  • Collaborative and dynamic work environment.
  • Professional development and growth opportunities.

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