Data Engineer
USD 129K-165K (estimate) Entry-level Full Time
Tasks
- Analyze large complex datasets
- Apply data mining and predictive analytics
- Build data pipelines and transformations
- Create dashboards and reporting tools
- Develop machine learning models
- Document methodologies for reproducibility
- Ensure security and data governance compliance
- Implement CI/CD pipelines
- Integrate disparate data systems
- Perform code review and software testing
- Use RESTful APIs for data access
- Use infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Ansible | CI/CD | DevSecOps | Docker | Geospatial analysis | Hadoop | Infrastructure as Code | Integration Testing | Java | Kubernetes | Language Processing | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | R | REST API | SciPy | Scikit-learn | Series analysis | Spark | TensorFlow | Terraform | Test-Driven | Test-Driven Development | Time Series | Time Series Analysis | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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