Job Description: 1. Offline Data Warehouse Modeling: Based on business development needs, lead the dimensional modeling and architectural restructuring of the offline data warehouse, and build and maintain highly available public intermediate layers. 2. Data Governance and Quality: Spearhead the establishment of a data quality assurance system, and develop and implement data governance standards. 3. Responsible for cross-system discrepancy verification (e.g., financial reconciliation, cross-system timestamp synchronization), as well as the unification and modification of core data definitions.
Job Description: 1. Real-time Data Warehouse Construction: Lead and be responsible for the architecture design and core code development of the real-time data warehouse, building stable and efficient real-time data pipelines. 2. Real-time Data Services: Oversee cross-system (internal business systems, external data sources such as GA, AF, etc.) data integration, designing and delivering highly available external real-time data services and APIs. 3.
Job Description: 1. Establish an indicator system that reflects business conditions 2. Responsible for the development and maintenance of DWS and ADS layer data warehouse models in collaboration with business lines 3. Manage the construction and maintenance of data dictionaries and semantic layers for business line data warehouses 4. Rapidly respond to ad-hoc data analysis and extraction requests from various business lines (e.g., operations, BD, transactions, risk control) to support fast-paced business iterations 5. Develop and refine analytical frameworks, and implement them in Grafana