Snowflake Data Engineer: ETL, SQL & Warehousing

Valiant Technologies LLC; San Jose (CA); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Valiant Technologies LLC in San Jose, CA seeks an experienced Snowflake Developer to design and optimize data warehouses built on Snowflake. You will craft efficient SQL, develop ETL/ELT pipelines, and integrate advanced data engineering practices to meet business needs.

You will collaborate with data engineers and business teams, ensure data quality, and support deployments while maintaining thorough documentation. A background in data warehousing and cloud data platforms is essential.

Formación

• Design and develop Snowflake data models and complex calculation views.
• Create and optimize SQL queries with cost considerations.
• Integrate LLM capabilities; work with Cortex as needed.
• RBAC controlled data architecture to enforce access.
• Ingest data from multiple sources (Oracle, Hana and others).
• SnowPro certification is a plus.
• Experience with Supply Chain or Cisco a plus.

Responsabilidades

• 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.

Conocimientos

Snowflake data modeling

SQL optimization

LLM integration

RBAC data architecture

Data integration

SnowPro certification

Supply Chain experience

Herramientas

Cortex

Descripción del empleo

Valiant Technologies LLC in San Jose, CA seeks an experienced Snowflake Developer to design and optimize data warehouses built on Snowflake. You will craft efficient SQL, develop ETL/ELT pipelines, and integrate advanced data engineering practices to meet business needs.

You will collaborate with data engineers and business teams, ensure data quality, and support deployments while maintaining thorough documentation. A background in data warehousing and cloud data platforms is essential.