Data Engineer (L2)
Tasks
- Build data ingestion pipelines from APIs
- Create datasets for campaign performance reporting
- Create datasets for lead funnel tracking
- Implement data validation checks
- Ingest and model marketing data from Meta Ads
- Maintain documentation for pipelines and datasets
- Monitor pipelines and resolve data issues
- Support ETL and ELT workflows
- Troubleshoot pipeline failures
- Work with marketing and analytics teams on data requirements
- Write Python and SQL for data transformations
Perks/Benefits
- Day off on third Friday of every month
- Monthly commute reimbursement
- Monthly wellness reimbursement
- Paid Maternity Leave
- Paid paternity leave
Skills/Tech-stack
API Integration | Apache Airflow | Campaign reporting | Cloud Data | Cloud Data Warehouse | DBT | Data Pipelines | Data Transformation | Data Validation | Data Warehouse | ELT | ETL | Event Tracking | Funnel tracking | Google Analytics | Google Analytics 4 | Google BigQuery | Lead Funnel Tracking | Marketing Analytics | Meta Ads | Pagination | Python | Retry logic | SQL | Workflow Orchestration
Education
Roles
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