Data & Analytics Engineer, Health & Fitness, Sensing & Connectivity
Tasks
- Build automated QA metrics
- Build data tools and dashboards
- Collaborate on software design integration testing deployment
- Design scalable data pipelines
- Gather requirements and support study design
- Monitor data quality
- Process and transform time series sensor data
- Run analytics to compare simulation output with ground truth
- Validate user study data quality
- Visualize and explore research data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Data Quality | Distributed Computing | Docker | GCP | Healthcare Data | Kubernetes | Linux | Machine Learning | Python | SQL | Time Series
Regions
Countries
States
Cities
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