Snowflake Data Engineer
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Description
Key Responsibilities
Snowflake Engineering
- Design and develop scalable Snowflake data models, warehouses and data products.
- Develop and optimize SQL, views, dynamic tables, stored procedures and Snow sql based transformations
- Develop reconciliation and RLS frameworks.
Azure Data Factory
- Design and build metadata-driven ADF pipelines for batch and incremental integration.
- Integrate enterprise applications, APIs, files, Azure storage and Snowflake using secure, supportable patterns.
- Pipeline migration activities with dependency assessment, regression testing, controlled rollout and rollback readiness.
- Implement monitoring, alerting, retry, exception handling and operational dashboards.
Snowflake Cortex AI and GenAI
- Develop Eaton-relevant AI solutions using Snowflake Cortex AI capabilities.
Technical Leadership and Delivery
- Translate business requirements into architecture, technical designs, delivery estimates and implementation plans.
- Lead design reviews, code reviews, engineering standards and technical documentation.
- Mentor engineers and coordinate work across data, application, cloud, security, testing and support teams.
- Own defect resolution, root-cause analysis, release readiness and production stabilization.
- Communicate risks, dependencies, decisions and delivery status
Required Technical Skills
- Snowflake
- Azure Data Factory
- AI / GenAI
- Programming
- Data Architecture
- DevOps