Found Description
A global technology company specializing in e-commerce, cloud computing, digital payments, logistics, and artificial intelligence, serving businesses and consumers across more than 200 countries and regions.
Job Responsibilities
- Design, develop, and maintain enterprise-level data warehouse models, ETL pipelines, and scheduling workflows to ensure data accuracy, consistency, and timeliness
- Analyze business requirements, identify data sources, and design end-to-end data processing workflows across the data warehouse layers, including ODS, DWD, DWS, and ADS
- Develop and optimize large-scale ETL/ELT processes using big data technologies such as Hive, Spark, Flink, HDFS, and Kafka for data extraction, cleansing, transformation, and loading
- Write efficient, maintainable SQL queries and scripts (e.g., Python and Shell) to improve data processing performance and execution efficiency
- Collaborate closely with Data Analy...