Senior Data Engineer
Tasks
- Build machine learning feature pipelines and training datasets
- Build real-time and batch data pipelines
- Create low latency scoring infrastructure
- Design and scale data architecture for revenue intelligence
- Ensure privacy compliance and governance
- Establish data quality monitoring and incident response standards
- Implement telemetry framework with event contracts and identity resolution
- Unify product telemetry customer lifecycle and revenue metrics into a single source of truth
- Use dbt for testable documented backward compatible data models
Perks/Benefits
Skills/Tech-stack
Apache Airflow | DBT | Dagster | Data Modeling | Data Quality | Data Warehousing | Databricks | Feature Engineering | Feature Store | Identity resolution | Incident Response | Machine Learning | Monitoring | Privacy Compliance | Python | Real Time | Real-time Processing | SQL | Snowflake | Telemetry | Time processing
Education
N/A
Roles
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