电商-数据仓库开发工程师
Core
Designing and maintaining a multi-layered data warehouse (ODS/DWD/DWM/DWS/APP) for an e-commerce platform, handling both batch and real-time data processing to support business reporting and analytics.
Role type
Senior Data Warehouse Engineer (Batch & Real-time)
Builds
Production data models, real-time dashboards, and unified business reporting metrics.
Domain
E-commerce, Data Engineering
Required skills
Dimensional modeling, Batch ETL development, Real-time stream processing (Flink SQL), OLAP engine optimization (Doris/ClickHouse/StarRocks), SQL, Python, Linux environment management, Data quality monitoring, Scheduling system maintenance.
Preferred skills
AI tool usage for development efficiency, Asset management for metrics and definitions.
Technologies
Flink SQL, Doris, ClickHouse, StarRocks, Hive, Python, Linux.
Responsibilities
Lead dimension modeling and build offline data warehouse layers; Develop and maintain real-time data pipelines for dashboards; Optimize OLAP models for query performance; Develop summary and application-layer reports; Ensure data accuracy and traceability; Maintain scheduling jobs and data quality monitoring.
Seniority
Mid-Senior, hands-on IC
