Senior Snowflake Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Snowflake Architecture & Engineering:

**GenAI:

• Enable GenAI use cases leveraging Snowflake’s native capabilities
• Implement Cortex AI features with custom workflows and business logic
• 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.**

Priority Skill

Data Center Engineering

• 8+ 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.

Please note that you will be submitted as a referral and will be actively processed on these demands.

Kindly check the link provided in our email communications to proceed with the recruitment process

The link only has a 180-day validity and in the event that the link has already expired or is no longer working, please feel free to refer them again to the correct Job Requisition (JR) code/s.

NOTE: Open demands are subject to change.