Data Engineer - Materials Discovery Research Institute
Tasks
- Build data pipelines
- Create data dictionaries
- Define data quality checks
- Design data models
- Develop machine learning features
- Ensure data governance and compliance
- Implement ETL/ELT pipelines
- Integrate disparate data sources
- Maintain data platforms
- Perform exploratory data analysis
- Train and evaluate machine learning models
- Troubleshoot data issues across environments
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Databricks | Cloud Computing | Data Factory | Data Governance | Data Modeling | Data Quality | Docker | ELT | ETL | Feature Engineering | Google Cloud | Infrastructure as Code | Kubernetes | Machine Learning | NumPy | Pandas | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Terraform | Web Services | “as-code”
Education
Roles
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