Software Engineer, Data Foundations
Tasks
- Architect Data Vault modeling
- Architect dimensional modeling
- Build metric layer
- Build semantic layer
- Create automated data tests
- Define data grain and keys
- Design One Big Table datasets
- Design data pipelines
- Design multi region replication
- Design multi tenant data platforms
- Ensure data quality
- Implement batch processing
- Implement monitoring and alerting
- Implement streaming processing
- Set up data observability
- Transform source data to datasets
- Use generative AI development tools
Perks/Benefits
- Collaborative culture
- Flexible working approach
- Health and wellbeing
- Learning opportunities
- Meaningful technical impact
- Professional growth
- Remote work
- Work-life balance
Skills/Tech-stack
Alerting | Automated testing | Batch Processing | Big Table | Data Architecture | Data Engineering | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Validation | Data Vault | Dimensional Modeling | Documentation | Generative AI | Java | Metric Layer | Monitoring | Multi-region | Multi-region replication | Multi-tenant | Multi-tenant architecture | One Big Table | Python | Scala | Semantic Modeling | Streaming processing | System design | Tenant architecture
Education
N/A
Roles
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