Data Engineer
Tasks
- Build and maintain ETL data pipelines
- Create technical documentation for data workflows
- Ingest, transform, and validate data
- Optimize pipeline performance
- Perform exploratory analysis using notebooks
- Perform unit testing and code reviews
- Support data modeling and schema design
- Support feature testing and controlled releases
- Use Git for version control and collaboration
- Work in Scrum/Agile environment
Perks/Benefits
Skills/Tech-stack
AWS Glue | Airflow | Amazon S3 | Amazon SageMaker | Code review | Data Modeling | Data Validation | Docker | ETL | Git | Jupyter Notebook | Kubernetes | Performance optimization | PySpark | Python | Schema Design | Unit Testing
Education
Roles
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