Senior Data Engineer – Physical AI Platform, Data Engineering
Tasks
- Build AWS cloud native data ingestion and streaming solutions
- Build and maintain microservices
- Conduct root cause analysis of data platform issues
- Design data integration frameworks and source data pipelines
- Design scalable data pipelines
- Develop cloud-based data platforms
- Establish validation frameworks for data integrity
- Implement automated testing and data quality controls
- Implement real-time and batch data processing
- Maintain service reliability using observability tools
- Perform production monitoring and performance tuning
- Translate requirements into scalable data architectures
Perks/Benefits
- 401k
- Adoption benefits
- Career development
- Disability benefits
- Employee assistance program
- Employee discounts
- Flexible spending accounts
- Health Lifestyle Programs
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Relocation assistance
- Tuition reimbursement
- Voluntary benefits
Skills/Tech-stack
API Design | AWS Kinesis | Agile | Amazon DynamoDB | Amazon EventBridge | Amazon S3 | Azure DevOps | Batch Processing | CI/CD | Cause analysis | CloudWatch | Data Quality | Data Quality Testing | Data integration | Data pipeline | Event Driven | Event-driven architecture | Functional testing | Java | Jenkins | Microservices | NoSQL Databases | Performance Testing | Python | Quality testing | Relational databases | Root Cause Analysis | Root cause | SQL | Streaming Data | Test automation
Education
Roles
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