Specialist - Data Engineering
Tasks
- Apply MLOps best practices
- Build data models and feature stores
- Collaborate with stakeholders define requirements success metrics
- Define maintain operational standards logging alerting documentation
- Deliver data products APIs dashboards notebooks
- Deploy ML models to production
- Design scalable ELT ETL pipelines
- Develop validate deploy ML models
- Ensure data integrity and quality
- Ensure reproducible model training
- Evaluate performance scalability cost efficiency
- Implement scalable ELT ETL data pipelines
- Monitor production ML models
Perks/Benefits
Skills/Tech-stack
Alerting | BigQuery | CI/CD | DBT | Data Modeling | Data Quality | Databricks | ELT | ETL | Feature Stores | Integration Testing | Logging | Looker | MLOps | Machine Learning | NLP | NLTK | Power BI | PyTorch | Python | REST APIs | Regular Expressions | SQL | Scikit-learn | Snowflake | Spacy | Tableau | Transformers | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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