A highly skilled AI & Data Integration Engineer with strong experience in Snowflake data integration AI-driven document processing and intelligent content search. The ideal candidate will work on building scalable data pipelines and AI solutions that enable automated document ingestion extraction indexing and search across enterprise platforms.
Design develop and maintain Snowflake-based data integration pipelines for structured and unstructured data.
Implement AI-powered document extraction solutions for PDFs scanned images and semi-structured documents.
Integrate and configure HotDocs for document generation and template-driven content automation.
Build and enhance AI Extract workflows for intelligent data capture classification and validation.
Develop and manage POS (Point of Sale / Policy / Operational Systems) documentation ingestion and lifecycle management.
Implement cool text search / intelligent search capabilities (semantic search full-text indexing keyword AI-based retrieval).
Collaborate with business product and architecture teams to translate requirements into scalable technical solutions.
Ensure data quality security performance and compliance across all integrations.
Support deployment monitoring and optimization of AI and data pipelines in production environments.
Requirements
The skills we are looking for within Snowflake are:
- AIPARSEDOCUMENT (both layout mode and OCR mode)
- AIEXTRACT (their new replacement for Document AI)
- Cortex Seach
- Snowflake Intelligence and setting up Semantic views for it
- LLMs in SQL
Required Skills:
SQLJOinsIndexqueries
A highly skilled AI & Data Integration Engineer with strong experience in Snowflake data integration AI-driven document processing and intelligent content search. The ideal candidate will work on building scalable data pipelines and AI solutions that enable automated document ingestion extraction in...
A highly skilled AI & Data Integration Engineer with strong experience in Snowflake data integration AI-driven document processing and intelligent content search. The ideal candidate will work on building scalable data pipelines and AI solutions that enable automated document ingestion extraction indexing and search across enterprise platforms.
Design develop and maintain Snowflake-based data integration pipelines for structured and unstructured data.
Implement AI-powered document extraction solutions for PDFs scanned images and semi-structured documents.
Integrate and configure HotDocs for document generation and template-driven content automation.
Build and enhance AI Extract workflows for intelligent data capture classification and validation.
Develop and manage POS (Point of Sale / Policy / Operational Systems) documentation ingestion and lifecycle management.
Implement cool text search / intelligent search capabilities (semantic search full-text indexing keyword AI-based retrieval).
Collaborate with business product and architecture teams to translate requirements into scalable technical solutions.
Ensure data quality security performance and compliance across all integrations.
Support deployment monitoring and optimization of AI and data pipelines in production environments.
Requirements
The skills we are looking for within Snowflake are:
- AIPARSEDOCUMENT (both layout mode and OCR mode)
- AIEXTRACT (their new replacement for Document AI)
- Cortex Seach
- Snowflake Intelligence and setting up Semantic views for it
- LLMs in SQL
Required Skills:
SQLJOinsIndexqueries
View more
View less