Senior Data Engineer- Data Science & AI
Telecommuter TN, United States
R
USD 165K-216K (estimate) Senior-level Full Time
Tasks
- Automate Snowpipe and data loading
- Build feature stores and datasets
- Collaborate with MLOps and Data Science teams
- Design ETL/ELT pipelines
- Develop RAG and LLM data pipelines
- Implement data validation and observability
- Ingest data from on prem sources
- Ingest unstructured data into vector stores
- Manage connectivity with IAM and PrivateLink
- Model data in Snowflake
- Optimize Snowflake storage and compute
- Optimize cloud data stack cost and performance
- Orchestrate cross cloud workflows
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | Airflow | Azure Data | Azure Data Factory | Azure Synapse | Data Factory | Data Modeling | Data Observability | Data Quality | Docker | ELT | ETL | Embeddings | Feature Engineering | LLM | PySpark | Python | RAG | SQL | Snowflake | Snowpipe | Vector Databases
Education
Roles
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