- Data Cloud Architecture & development: Design data cloud architecture and data ingestion pipelines.
- Integration: Integrate with Snowflake by using API based architecture using MuleSoft. Build pipelines to support the data retrieval required for AI.
- RAG Data Element: sound knowledge of how to prepare data set required for AI.
- Performance: Manage API limits and ensure scalability. Explicit concepts for data governance & data quality framework.
- Required Skills
- Data cloud
- Mulesoft API based integration
- Data modeling
- Pipeline designs
- REST / Event-driven integration