Data Engineer
Tasks
- Collaborate with marketing and growth teams
- Ensure data quality and observability
- Improve architecture and data practices
- Maintain GDPR and PII compliance
- Model event data in data warehouse
Perks/Benefits
- Benefits and pension
- Career growth
- Inclusive environment
- Leadership program
- Professional development
- Work-life balance
Skills/Tech-stack
Activation metrics | Cause and Effect | Cause and effect analysis | Cloud Data | Cloud Data Stack | Data Modeling | Data Observability | Data Pipeline Development | Data Quality | Data Reliability | Data Systems | Data pipeline | Data stack | Event Driven | Event-driven architecture | GDPR Compliance | JVM-based | JVM-based languages | Martech platforms | Near real-time data systems | Near-Real-Time data | Near-real-time | Pipeline Development | Python | Real-time data systems | SQL | Streaming systems
Education
Bachelor's | Bachelor's Degree | College Degree | High School Diploma
Roles
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