Principal Data/AI Engineering
Tasks
- Architect data and AI solutions
- Automate software engineering processes
- Build data models and pipelines
- Design testing strategies
- Develop and document APIs
- Develop and optimize scalable high performance applications
- Develop scalable & secure microservices
- Ensure data integrity with quality procedures
- Implement CI/CD pipelines
- Implement scalability performance monitoring and cost optimization
- Oversee deployment processes
- Select cloud and on premises technologies
Perks/Benefits
- 401k
- Adoption reimbursement
- Disability benefits
- Disability insurance
- Employee assistance program
- Employee discounts
- Life and accidental death insurance
- Medical/Dental/Vision
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
Amazon Web Services | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | Cost Optimization | Data Modeling | Data Pipelines | Databricks | Google Cloud | Google Cloud Platform | GraphQL | HTTP | Java | Microservices | Performance Monitoring | Python | REST | SQL | Scala | Snowflake | Statistical quality | Version control | Web Services
Education
Regions
Countries
States
Cities
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