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bigquery sql python dbt airflow📋 Description
- Build and extend batch pipelines with dbt and Dagster for orchestration.
- Develop and optimize BigQuery data models for analytics and reporting.
- Advance real-time streaming with Kafka/PubSub and Flink pipelines using FlinkSQL.
- Design data platform standards, CI/CD, and testing practices.
- Improve reliability and observability with monitoring and SLAs/SLOs.
- Partner with analytics, product, and engineering to onboard data sources.
🎯 Requirements
- Strong SQL proficiency (advanced querying, data modeling).
- dbt experience: models, tests, sources, snapshots, incremental.
- Batch orchestration with Dagster/Airflow (assets, schedules, observability).
- Python for data engineering (pipeline glue code, tooling).
- BigQuery or cloud-native data warehouses expertise (partitioning, cost optimization).
- GCP/AWS/Azure infra experience (IAM, security, deployments).
- Strong fundamentals: version control, testing, code review, docs.
🎁 Benefits
- Stock options.
- Remote-first work with virtual and in-person events.
- Flexible vacation policy.
- Comprehensive health, dental, and vision insurance.
- 16 weeks parental leave.
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