Senior Data Engineer (Snowflake)
Tasks
- Build and maintain customer level data structures for personalization and lifecycle marketing
- Build and maintain pipelines to synchronize customer data with engagement platforms
- Design scalable Snowflake data models for customer engagement
- Develop Customer 360 views and improve audience readiness across channels
- Develop Snowflake schemas for CDP and downstream activation
- Establish data quality governance privacy and compliance practices
- Implement identity resolution and customer profile unification
- Optimize Snowflake environments for performance scalability reliability and cost
Perks/Benefits
- Fixed-term contract
- International collaboration
- Learning opportunities
- Meetups and events
- Professional progression
- Remote-first work
Skills/Tech-stack
Adobe Campaign | Audience Segmentation | Bloomreach | Braze | Census | Consent Management | Customer 360 | Customer Profile | Customer Profile Architecture | DBT | Data Governance | Data Modeling | Data Privacy | ETL | Event Tracking | Hightouch | Identity resolution | Lifecycle Marketing | Marketing Cloud | Mparticle | Personalization | Predictive Modeling | Propensity Modeling | Propensity scoring | Reverse ETL | Rudderstack | SQL | Salesforce Marketing | Salesforce Marketing Cloud | Segment | Snowflake | Tealium
Education
N/A
Roles
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