Snowflakes Data Engineer
Summary
Design and build Snowflake-based data pipelines and governance, using Snowpark/SQL to ingest, transform, and expose data while enabling GenAI features with Cortex AI.
Responsibilities
- Lead and implement Snowflake solutions across data ingestion, storage, transformation, and access
- Lead end-to-end implementation of solutions using Snowflake’s latest features.
- Develop reusable frameworks, UDFs, and components using Snowpark or SQL scripting
- Develop performance-optimized pipelines using Snowflake-native capabilities and modern ELT tools
- Establish data governance, security models, RBAC, and masking policies in line with compliance standards
- Conduct performance tuning, workload monitoring, and optimization.
Requirements
- Enable GenAI use cases leveraging Snowflake’s native capabilities
- Implement Cortex AI features with custom workflows and business logic
Qualifications and Certifications
- 2+ years of experience as a Snowflake Lead or Data Engineer
- Good command of Snowflake internals, including performance tuning, clustering, caching
- Good Knowledge of SQL, Snowflake scripting, and at least any one cloud platforms (AWS, Azure, or GCP)
- Knowledge of Advanced Features like dynamic tables, Snow pipe streaming, Snowflake Cortex AI etc
- Good communication skills with the ability to bridge technical and business discussions
- Certifications: SnowPro Core Certified.