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bigquery terraform python kubernetes airflow📋 Description
- Design and implement enterprise-scale data infrastructure.
- Build multi-region data pipelines for petabyte-scale data.
- Ensure 99.9% reliability with monitoring and alerts.
- Lead cost analysis to optimize data stack spend.
- Provide technical guidance and architecture reviews for DataOps.
- Evaluate new data tools and drive the data infrastructure roadmap.
🎯 Requirements
- 7+ years as Staff Data Platform Engineer or similar.
- Deep experience with Google Cloud Platform, Kubernetes and Terraform.
- Expertise in Airflow or Dagster for data pipelines.
- Strong Python programming and software dev principles.
- Proficiency in data warehouses such as BigQuery.
- Excellent troubleshooting and cross-functional communication.
🎁 Benefits
- Health insurance for you and your children
- Additional parental leave (1 extra month)
- Free mental health and coaching services
- EU/UK flexibility days up to 10 days per year
- RTT up to 14 days
- Lunch voucher with Swile card
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