Snowflakes Data Engineer

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.