Software Engineer, Data Platform
Tasks
- Apply infrastructure as code for data systems
- Architect multi-tenant data models
- Build observability and incident response
- Build scalable data ingestion pipelines
- Create SLIs and SLOs with monitoring
- Define data contracts and requirements
- Design data storage systems
- Design semantic metadata layer
- Develop backend data services
- Implement data governance and quality
- Implement secure data sharing and isolation
- Integrate legacy platforms with modern architectures
- Migrate legacy data infrastructure
Perks/Benefits
- Collaborative work environment
- Comprehensive medical benefits
- Inclusive workplace
- Remote work opportunity
- Technical growth and learning
Skills/Tech-stack
AWS | Access Control | Apache Airflow | Apache Flink | ClickHouse | Cloud Native | Cloud platform | Compliance | Containerization | Data Governance | Data Lineage | Data Quality | Data Retention | Databases | Databricks | Docker | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Kubernetes | Monitoring and Alerting | Multi-tenant | Multi-tenant architecture | OLAP | OLTP | Observability | Redshift | SQL | Service Level | Service level indicators | Service-Level Objectives | Tenant architecture | Terraform | “as-code”
Education
N/A
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