Lead Data Engineer
Tasks
- Build and maintain data pipelines
- Build datasets for campaign tracking
- Build datasets for lead funnel analysis
- Collaborate with marketing growth and analytics teams
- Define revenue and performance success metrics
- Design scalable data architecture
- Develop ETL/ELT workflows
- Develop microservices for data products
- Enable self-serve analytics
- Ensure data quality and reliability
- Implement attribution and conversion tracking
- Implement data validation checks
- Implement monitoring and alerting
- Ingest and model Meta Ads data
- Maintain documentation of data models and pipelines
- Optimize data models for analytics
- Own campaign attribution use case
- Own lead funnel optimization use case
- Own revenue reporting and forecasting use case
- Translate business requirements into data solutions
Perks/Benefits
- Day off on third Friday monthly
- Monthly office commute reimbursement
- Monthly wellness reimbursement
- Paid Maternity Leave
- Paid paternity leave
Skills/Tech-stack
API Integration | APIs | Airflow | Alerting | Attribution Models | BigQuery | Cloud Data | Cloud Data Platforms | Conversion Tracking | DBT | Data Ingestion | Data Modeling | Data Quality | Data Validation | Data orchestration | Data platforms | ELT | ETL | Event Tracking | GA4 | Marketing Analytics | Microservices | Monitoring | Observability | Pagination | Python | Rate Limiting | Retries | SQL | Snowplow | Star Schema
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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