Principal Data/AI Engineering
Tasks
- Architect data AI solutions
- Build secure scalable microservices
- Design data models
- Develop APIs
- Develop scalable high-performance applications
- Ensure data integrity
- Implement performance monitoring
- Implement testing strategies
- Maintain documentation and version control
- Mentor team members
- Optimize cost performance
- Optimize data pipelines
- Oversee deployments
- Select cloud and on premises technologies
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee assistance program
- Employee discounts
- Employee wellness programs
- Life and accidental death insurance
- Medical, dental & vision coverage
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
Amazon Web Services | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | Data Modeling | Data Pipelines | Databricks | Google Cloud | Google Cloud Platform | GraphQL | HTTP | Java | Microservices | Python | Quality Control | REST | SQL | Scala | Snowflake | Statistical quality | Statistical quality control | Version control | Web Services
Education
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