Related skills
bigquery python kubernetes google cloud platform claude📋 Description
- End-to-end data ingestion and transformation pipeline lifecycle.
- Design, develop, and scale pipelines around 100 TB/day.
- Improve stability and quality of existing pipelines.
- Own live integrations support during incidents.
- Collaborate with product, engineering, support, and customers.
- Drive observability, automated testing, and automation.
🎯 Requirements
- Experience building and maintaining production data pipelines.
- Proficient in Python for large-scale data processing.
- Strong cloud skills with GCP/AWS/Azure for data platforms.
- Knowledge of data modeling and ETL/ELT patterns.
- English fluency and clear technical communication.
- Uses AI-assisted tooling to speed up development.
🎁 Benefits
- Flexible work: remote or office access.
- Flexible time off for balance.
- Health benefits and wellbeing support.
- Payflow App: access earned salary early.
- Career development programs and training.
- Impactful work used by 85,000+ users.
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