Data Engineering
Build robust data pipelines with Snowflake's data engineering capabilities. Ingest, transform, and orchestrate data workflows with SQL, Python, and native integrations.
Snowpipe
Continuous data loading in real-time.
Python + SQL
Use your preferred language for transformations.
dbt Native
Native dbt integration for analytics engineering.
Build Modern Data Pipelines
- Native support for SQL and Python transformations.
- Streaming and batch data ingestion.
- Snowpipe for continuous data loading.
- Task orchestration and scheduling.
Transform Data at Scale
- dbt integration for analytics engineering.
- Dynamic tables for declarative pipelines.
- Stored procedures and UDFs.
- Change data capture and merge operations.
Explore Snowflake Solutions
Data Cloud
Unified platform for data warehousing, lakes, and sharing.
Learn More →Data Analytics
Real-time analytics and BI on structured and semi-structured data.
Learn More →AI & Machine Learning
Cortex AI and native ML capabilities for intelligent insights.
Learn More →Data Warehouse
Cloud-native data warehouse with unlimited scalability.
Learn More →Data Engineering
Streamlined ETL/ELT and data pipeline management.
Learn More →Platform & Marketplace
Access 2000+ data products and third-party apps.
Learn More →Data Pipelines. Simplified.
Build and manage data pipelines with Snowflakes native ETL/ELT capabilities and Snowpipe streaming.
Key Scenarios
- Real-time data ingestion with Snowpipe.
- ELT transformations with SQL.
- Data quality and lineage tracking.
- Orchestration with Tasks and Streams.
Trisigma Integration
Seamless connectivity with your existing systems.
Business Results
- Real-time Sub-second data freshness.
- No-code Visual pipeline builder available.
- Reliable Exactly-once delivery guaranteed.