Snowflake Data Engineer — Pipelines, SQL & LLM Integration

Quantum Technologies. LLC; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies. LLC in the United States invites an experienced Snowflake Developer to design and optimize data pipelines, implement data integration solutions, and ensure efficient data processing and storage.

The ideal candidate will build Snowflake data models and complex calculations, write optimized SQL and Python ETL/ELT code, and collaborate with data engineers, architects, and business teams to meet data requirements.

Qualifications

• Design and Develop snowflake data models/complex calculation views.
• Complex SQL queries with optimization for cost reduction.
• LLM integration/Proficient with Cortex.
• RBAC controlled data architecture.
• Data integration/Ingestion with multiple data sources Oracle, Hana (plus).
• Snowflake SnowPro certification (plus).
• Supply Chain/Cisco experience (plus).

Responsibilities

• Design, develop, and maintain data warehouse solutions using Snowflake.
• Develop and optimize SQL queries, stored procedures, and data transformation processes.
• Build and maintain ETL/ELT pipelines for data ingestion and integration.
• Monitor and optimize query performance and resource utilization.
• Perform data validation and troubleshoot data-related issues.
• Collaborate with data engineers, architects, and business teams to meet data requirements.
• Support production deployments, testing, and ongoing maintenance.
• Maintain technical documentation and follow data engineering best practices.

Skills

Snowflake data modeling

Complex SQL queries

Python

RBAC data architecture

Data integration

SnowPro certification

Cost optimization

Job description

Quantum Technologies. LLC in the United States invites an experienced Snowflake Developer to design and optimize data pipelines, implement data integration solutions, and ensure efficient data processing and storage.

The ideal candidate will build Snowflake data models and complex calculations, write optimized SQL and Python ETL/ELT code, and collaborate with data engineers, architects, and business teams to meet data requirements.