Data Engineer
Tasks
- Analyze datasets for data quality and accuracy
- Build data products for data scientists and engineers
- Build data storage and integration pipelines
- Collaborate on requirements and design specifications
- Create data ontologies
- Create semantic data models
- Design build and maintain batch data pipelines
- Design build and maintain streaming data pipelines
- Integrate applications across platform components
- Monitor and observe data processing pipelines
- Optimize AWS cloud solutions for cost reliability scalability
- Support field integration and deployment
- Verify data quality and integrity
- Write clean, documented, scalable, testable code
Perks/Benefits
- Employer paid medical/dental/vision
- Flexible work
- Health savings account
- Life insurance
- Remote work policy
- Tax deferred public transit benefits
- Uncapped paid time off
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Kafka | CI/CD | Data Lakes | Data Modeling | Data Quality | Data Warehouses | Data integration | Data ontology | Databricks | Docker | Go | Hadoop | Java | Kubernetes | MySQL | Oracle | PostgreSQL | Python | Snowflake | Source Control | Spark
Education
N/A
Roles
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