Data Reliability Engineer/Software Engineer
Tasks
- Apply data masking access controls and RLS
- Build data quality anomaly detection and observability frameworks
- Classify and tag data assets for compliance
- Define and operate data SLIs and SLOs
- Deploy and operate data and AI services on Kubernetes
- Develop and maintain production data products
- Drive inner source best practices for data product development
- Enforce data product governance and ownership
- Ensure data reproducibility for training and inference
- Implement data versioning and lineage
- Implement proactive alerting incident response and root cause analysis
- Implement real-time data pipelines
- Maintain metadata and data catalog entries
- Optimize data products for ML models and AI agents
- Transition pipelines to scalable ELT architectures
Perks/Benefits
- 401k match
- Flexible spending account
- Health savings account
- Paid parental leave
- Paid time off and holidays
- Tuition reimbursement
Skills/Tech-stack
Amazon S3 | BigQuery | CI/CD | Cause analysis | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | Data masking | Databricks | Dimensional Modeling | Docker | Domain-Driven Design | Feature Stores | High Availability | Incident Response | Java | Kafka | Kubernetes | Low Latency | Minio | Model Reliability | Observability | Python | RBAC | Root Cause Analysis | Root cause | Row Level Security | SLI/SLO | SQL | Scala | Scalability | Snowflake | Spark Streaming | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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