电商-数据仓库开发工程师
Core
Designing and maintaining an e-commerce data warehouse for offline batch processing and real-time analytics to support business reporting and dashboards.
Role type
Senior Data Warehouse Engineer (Real-time & Batch)
Builds
E-commerce data warehouse layers (ODS/DWD/DWM/DWS/APP), real-time metrics, and OLAP models.
Domain
E-commerce, Data Engineering
Required skills
SQL, Hive, Python, Flink SQL, Doris, ClickHouse, StarRocks, Dimensional Modeling, ETL Development, Data Quality Monitoring, Linux
Preferred skills
AI tool usage for development efficiency, Experience with scheduling platforms
Technologies
Flink SQL, Doris, ClickHouse, StarRocks, Hive, Python, Linux
Responsibilities
Designing and maintaining offline data warehouse layers (ODS/DWD/DWM/DWS/APP) and batch ETL pipelines; Developing real-time data pipelines using Flink SQL for window aggregation and metric calculation; Designing OLAP models, partitioning, and materialized views in Doris for query optimization; Developing summary and application-layer reports to unify metric definitions; Managing data modeling, field extensions, and historical data backtracking; Maintaining job scheduling and data quality monitoring to ensure SLA compliance.
Seniority
Senior, hands-on IC
