Platform & Data Engineer
Tasks
- Build ETL pipelines
- Build observability stack
- Debug Kubernetes clusters
- Design indexing strategy
- Design internal tools APIs
- Design self service query layer
- Develop query templates
- Implement authentication
- Implement error tracking
- Implement log aggregation
- Implement sharding
- Improve Kubernetes scalability
- Ingest data in MongoDB
- Operate Kubernetes platform systems
- Optimize database queries
- Perform capacity planning
- Support API versioning
- Support multi tenancy
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Versioning | Aggregation Pipeline | Authentication | Capacity Planning | Data Ingestion | ETL Pipelines | Error Tracking | Indexing | Kubernetes | LLM Assisted Querying | Log Aggregation | Model Context Protocol | MongoDB | Multi-tenancy | Observability | Python | Query Optimization | Query Templates | Query builders | Sharding
Education
Roles
Regions
Countries
States
Cities
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