Data Engineer - Global E-Commerce (Governance Service)

ecosystem, content and commodity quality, and friction-free experiences to drive improvement.

Responsibilities:

• Responsible for the offline data warehouse construction of global e-commerce security, including data layering, model design, ETL process, etc.
• Establish data warehouse standards for global e-commerce 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 real-time data processing pipelines, including tagging systems and real-time ETL infrastructure.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

Minimum Qualifications:

• Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.
• Candidates should have at least 5 years of 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.

Preferred Qualifications:

• Candidates with deep experience in real-time data warehouse construction.
• Data-sensitive with strong business understanding, excellent logical reasoning skills, and some data analysis capabilities.

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