Sr. Data Infrastructure & Quality Engineer
Tasks
- Build ETL pipelines
- Build data quality validation frameworks
- Build sensor data ingestion pipelines
- Create regression testing suites
- Design and develop cloud infrastructure
- Develop automated data validation scripts
- Implement infrastructure-as-code
- Integrate data labeling workflows and third party services
- Own data infrastructure from prototype to production
- Support pipeline deployments and root cause analysis
Perks/Benefits
Skills/Tech-stack
Active Learning | Automated testing | Cause analysis | Cloud Computing | Continuous Training | Data Curation | Data Engineering | Data Governance | Data Ingestion | Data Lakehouse | Data Lineage | Data Quality | Data Security | Data Validation | Data Warehouse | Data orchestration | ETL | Feature Store | High Throughput | High Throughput Pipelines | Infrastructure as Code | Machine Learning | NVIDIA Triton | Regression testing | Root Cause Analysis | Root cause | Sensor Data Ingestion | Sensor data | Version control | “as-code”
Education
N/A
Regions
Countries
States
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