Senior Analytics Engineer – Product & Customer Analytics
Tasks
- Align assets with standards
- Build dbt tests
- Build tables for dashboards segmentation and embedded analytics
- Coordinate schema changes and backfills
- Develop dbt models
- Document models columns and metrics
- Implement deduplication logic
- Implement identifier transformations
- Implement tenancy transformations
- Implement time based logic
- Investigate test and monitoring issues
- Maintain tags ownership metadata and lineage
- Partner with product engineers to validate outputs
- Refactor ad hoc logic into reusable assets
- Remediate data quality issues
- Transform event data into dimensions and facts
- Validate schema freshness and business logic
Perks/Benefits
Skills/Tech-stack
DBT | Data Documentation | Data Lineage | Data Modeling | Data Quality | Data Testing | Deduplication | Event Driven | Event-driven architecture | Identifier Management | Latency analytics | Low Latency | Low-latency analytics | Multi Tenant Modeling | Multi-tenant | SQL | Time Series | Time Series Processing | Warehouse analytics
Education
N/A
Roles
Analytics | Analytics Engineer | Engineer | Senior Analytics Engineer
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