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bigquery docker etl sql python📋 Description
- Design and build scalable data pipelines ingesting data from multiple sources.
- Build and maintain APIs enabling flexible, secure, tenant-aware data integrations.
- Work with event-driven and batch architectures to ensure data freshness and consistency at scale.
- Drive API designs for real-time and batch ingestion with OAuth/API keys.
- Implement observability, monitoring, and alerting for data freshness and reliability.
- Collaborate with data engineering, infra, and product teams to create an extensible integration platform.
🎯 Requirements
- 5+ years in data/ software/ or integration engineering focused on ETL and data pipelines.
- Strong proficiency in Python.
- Experience with API-based ETL, handling REST, GraphQL, Webhooks.
- Experience implementing authentication flows.
- Proficiency in SQL and BigQuery.
- Experience with orchestration frameworks (Airflow) to manage data workflows.
🎁 Benefits
- Equity package
- Healthcare benefits (medical, dental, and vision)
- 401(k) plan
- Flexible PTO, holidays, and paid parental leave
- $500 work-from-home stipend
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