Senior Data Engineer — Ingestion & Platform
Tasks
- Build reusable ingestion frameworks and pipeline templates
- Collaborate with engineering, product, and data teams
- Deploy monitor and resolve production incidents
- Design orchestration patterns with Apache Airflow
- Design scalable data ingestion pipelines
- Ensure data quality with testing validation and monitoring
- Implement API integrations authentication and pagination
- Improve reliability through ongoing monitoring and automation
- Integrate REST APIs and external data sources
- Own end to end ETL and reverse ETL processes
Perks/Benefits
- Flexible collaboration hours
- Fully remote
- Greenfield production platform
- High autonomy
- High ownership
- Work-life balance
Skills/Tech-stack
API Keys | Apache Airflow | Authentication | Backfills | CI/CD | DAGs | DBT | Data Quality | ETL | Incident Management | Infrastructure as Code | Monitoring | OAuth | Pagination | Python | REST APIs | Rate Limiting | Reverse ETL | Snowflake | Token refresh | “as-code”
Education
N/A
Roles
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