Senior Data Engineer
Tasks
- Build batch ingestion workflows
- Build distributed query engines
- Build low latency streaming pipelines
- Deploy configurations with Ansible
- Deploy infrastructure with Terraform
- Design data platform infrastructure
- Develop data orchestration systems
- Develop streaming data pipelines
- Enable self service BI access
- Establish data governance
- Implement change data capture pipelines
- Implement monitoring and alerting
- Maintain data catalogs and lineage
- Maintain lakehouse infrastructure as code
- Manage Kubernetes deployments
- Optimize data platform performance
- Run incident response and runbooks
- Support analytics and AI with open table formats
Perks/Benefits
- Flexible working arrangements
- Global distributed team
- Health benefits
- Home office setup allowance
- Remote-first
- Stock options
Skills/Tech-stack
Airbyte | Airflow | Alerting | Ansible | Apache Iceberg | ArgoCD | Change Data Capture | Cloud Build | Cloud SQL | Cloud platform | Data Capture | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Dataproc | Debezium | Distributed Systems | Docker | GCS | Google Cloud | Google Cloud Platform | Helm | Infrastructure as Code | Kafka | Kubernetes | Monitoring | Object storage | Presto | Python | Redpanda | SQL | Streaming Pipelines | Terraform | Trino | “as-code”
Education
N/A
Roles
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