Data Engineer
Core
Design, build, and maintain scalable data pipelines and platforms powering analytics and machine learning systems for JD.com's European retail brand, Joybuy.
Role type
Data Engineer
Builds
Scalable data pipelines, storage systems, and data infrastructure for international retail operations
Domain
E-commerce / Retail / Big Data
Deliverable
production ML models
Required skills
SQL, Python, Java, Scala, Spark, Hadoop, Flink, AWS, GCP, Azure, Snowflake, Redshift, BigQuery, Airflow, Luigi, data governance
Preferred skills
E-commerce platform experience, cross-border data platform experience, Kafka, Pulsar
Technologies
Spark, Hadoop, Flink, Kafka, Pulsar, Airflow, Luigi, Snowflake, Redshift, BigQuery
Responsibilities
Design and implement robust data pipelines and ETL processes; Build and optimise scalable data storage and retrieval systems; Ensure data quality, consistency, and compliance with regulations; Collaborate with data scientists and product teams to deliver datasets; Implement monitoring and automation to improve pipeline efficiency; Contribute to the development of the overall data infrastructure roadmap
Seniority
Mid-level, hands-on IC
