Senior Data Engineer
Tasks
- Build batch ingestion workflows
- Build lakehouse infrastructure as code
- Collaborate to deliver solutions for evolving data needs
- Design scalable data platform infrastructure
- Develop streaming and CDC pipelines
- Enable self service analytics data access
- Establish best practices for scalable secure maintainable data systems
- Implement monitoring, alerting, and incident response
- Own reliability practices runbooks and service level objectives
- Support data experimentation governance cataloging and lineage
Perks/Benefits
- Flexible working arrangements
- Globally distributed team
- Health benefits
- Home office setup allowance
- Remote-first work environment
- Stock options
- Work from home stipend
Skills/Tech-stack
Airbyte | Airflow | Alerting | Ansible | Apache Iceberg | ArgoCD | Change Data Capture | Cloud Build | Cloud Dataproc | Cloud SQL | Cloud Storage | Cloud platform | Data Capture | Data Catalog | Data Governance | Data Lineage | Debezium | Distributed Systems | Docker | Docker Compose | Google Cloud | Google Cloud Platform | Google Cloud Storage | Helm | Incident Response | Infrastructure as Code | Kafka | Kubernetes | Low Latency | Low Latency Processing | Monitoring | Object storage | Presto | Python | Redpanda | SQL | Streaming Data | Terraform | Trino | “as-code”
Education
N/A
Roles
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