Snowflake Data Engineer

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