Senior Data Platform Engineer
Tasks
- Build AI ready data pipelines for enrichment ranking and matching
- Decompose monolithic MySQL into domain data stores
- Define and maintain canonical entities and schemas
- Define data ownership and source of truth boundaries
- Design and implement data pipelines for employer job and physician data
- Design event tracking and behavioral data models
- Enable cross system visibility into user behavior
- Establish data contracts between systems
- Implement identity resolution and deduplication
- Implement incremental data migration paths
- Support feedback loops and behavioral learning
- Translate product requirements into system design
Perks/Benefits
- 401k match
- Adoption Assistance
- Corporate wellness programs
- Employee wellness programs
- Fertility coverage
- Flexible work schedule
- Healthcare benefits
- LinkedIn Learning courses
- Marriage counseling
- Matching grants
- Onsite health centers
- Paid parental leave
- Recognition programs
- Tuition reimbursement
- Volunteer time off
- Work from home
Skills/Tech-stack
AI integration | Batch Processing | Canonical Data | Cloud platform | DBT | Data Contracts | Data Modeling | Data Pipelines | Deduplication | Event Driven | Event Tracking | Event-driven architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Identity resolution | LLM | Machine Learning | MySQL | Service Oriented | Service-Oriented Architecture | Streaming processing
Education
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