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bigquery python kubernetes gcp claude📋 Description
- Design, build, and maintain data pipelines for large data streams.
- Own end-to-end ingestion and transformation of data.
- Collaborate with product, engineering, support, and business teams.
- Troubleshoot live integrations and incidents with stakeholders.
- Improve reliability via observability, testing, and automation.
- Leverage AI-assisted tooling to accelerate engineering velocity.
🎯 Requirements
- Experience building and maintaining production data pipelines.
- Pride in the software from design to production monitoring.
- Proficiency in Python for large-scale data processing.
- Strong knowledge of data cloud tech with GCP, AWS, or Azure.
- Fluent English with clear communication of data flows.
- Familiarity with AI-assisted tooling to ship high-quality code.
🎁 Benefits
- Flexible work: work from home or global offices.
- Flexible time off to balance work and life.
- Collaborative, high-bar team environment.
- Career development: workshops and training.
- Impactful work: used by 85,000+ users.
- Mobility options: budget or company car.
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