Snowflake AI Data Engineer
Tasks
- Apply row level and column level controls
- Build vector search and RAG architectures
- Configure streams and tasks
- Coordinate with offshore teams
- Create Snowflake schemas and views
- Design Snowflake native AI solutions
- Enable AI copilots and semantic search
- Enable Snowpark based AI ML workflows
- Enforce RBAC and masking
- Guide SQL Python and ELT transformations
- Implement LLM-powered features
- Implement clustering and query tuning
- Integrate data with Talend and Qlik Replicate
- Lead batch and near real time ETL pipelines
- Manage Snowpipes and ingestion pipelines
- Optimize warehouse sizing
- Perform data quality and reconciliation
- Support CI/CD deployments and automation
- Support schema evolution
Perks/Benefits
- Disability insurance
- Employee assistance programs
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AWS Cloud | Amazon SageMaker | Azure Machine Learning | CI/CD | Column-Level Security | Cortex AI | Data masking | Databricks | ELT | Embeddings | LLM | Machine Learning | Python | Qlik Replicate | RAG | RBAC | Row Level Security | SQL | Snowflake | Snowpark | Snowpipe | Streams | Talend | Tasks | Vector Search
Education
N/A
Roles
AI | AI Data Engineer | Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead
Regions
Countries
States
Cities
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