Data Engineer – Python/AI
Charlotte, United States
USD 106K-173K (estimate) Senior-level Full Time
Tasks
- Analyze test reports and triage issues
- Build metadata and data quality controls
- Define and document data engineering requirements
- Design and deliver data pipelines
- Develop and execute test plans
- Develop data solutions
- Drive project delivery and release processes
- Integrate, clean, transform, and control data
- Manage data dependencies and workloads
- Perform integration regression and performance testing
- Productionize machine learning models end-to-end
- Troubleshoot data problems
Perks/Benefits
Skills/Tech-stack
Artifactory | Bitbucket | CI/CD | Containerization | Data Quality | Data Transformation | Data pipeline | DevOps | Docker | Feature Engineering | Generative AI | Git | Integration Testing | Jenkins | LLM | MLOps | MLflow | Machine Learning | Metadata Management | Microservices | Model Governance | Monitoring | OpenShift | Performance Testing | Pytest | Python | REST API | Regression testing | Retraining | SonarQube
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Regions
Countries
States
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