Senior Data Engineer
Tasks
- Build feature pipelines and training datasets
- Build real-time and batch data pipelines
- Define telemetry event contracts
- Design and scale data systems
- Enable self service analytics with data modeling
- Ensure privacy compliance and data governance
- Establish data quality monitoring and incident response
- Integrate product usage CRM and billing into revenue attribution
- Provide low latency scoring infrastructure
- Solve identity resolution across devices and products
- Unify product telemetry and revenue metrics into a single source of truth
Perks/Benefits
Skills/Tech-stack
Airflow | Billing Systems | CRM Integration | DBT | Dagster | Data Modeling | Data Quality | Databricks | Event Telemetry | Feature Stores | Identity resolution | Incident Response | Low Latency | Machine Learning | Monitoring | Privacy Compliance | Python | Real Time | Real-time Scoring | SQL | Snowflake | Training pipelines
Education
N/A
Roles
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