Senior Data Engineer
Tasks
- Apply security as code and threat modeling
- Build data platforms
- Conduct architecture design reviews
- Coordinate upstream downstream data dependencies
- Design data pipelines
- Develop data contract tests
- Drive deployment automation
- Ensure privacy compliance and accessibility
- Ensure secure reliable scalable delivery
- Implement data transformations
- Manage batch vs streaming tradeoffs
- Mentor engineers and raise engineering bar
- Monitor data drift and distribution
- Operate data services
- Own end-to-end engineering lifecycle
- Participate in on-call rotation
- Run A B tests and offline replays
- Strengthen CI CD for data systems
- Use telemetry for troubleshooting
- Validate schemas and freshness
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Automation | Azure | B testing | Batch Processing | CI/CD | Cloud Computing | Contract testing | Cost Optimization | Data Contract Testing | Data Drift | Data Engineering | Data Modeling | Data Pipelines | Data Quality | Data Warehouse | Data contract | Data drift monitoring | Distributed Systems | Drift monitoring | ELT | ETL | Embeddings | Feature Stores | Incident Response | Infrastructure as Code | LLM integration | Lakehouse | Metrics | Monitoring | Offline Online Parity | On-Call | On-call operations | Performance Tuning | Responsible AI | Retrieval-Augmented Generation | Schema Validation | Secure Coding | Stream processing | Telemetry | Threat modeling | Vector Databases | “as-code”
Education
Roles
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