Data Engineer
Tasks
- Align and deliver data transformations
- Apply coding and process best practices
- Build scalable data products
- Contribute to data standards
- Create data flow diagrams
- Drive data strategy
- Ensure data interoperability
- Evaluate and select data platform technologies
- Implement data processing jobs with PySpark
- Improve data quality
- Load and transform data
- Model data
- Productionize data pipelines
- Resolve data quality issues
- Support scalable growth
- Translate business requirements into scalable coded processes
- Use database technologies for analytics
Perks/Benefits
- Community service paid time off
- Employee resource groups
- Flexible family care
- Medical dental prescription coverage
- Paid Holidays
- Paid time off
- Parental leave
- Subsidized back-up child care
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
Alteryx | Apache Airflow | BigQuery | Cloud platform | Data Architecture | Data Interoperability | Data Modeling | Data Quality | Data Visualization | GitHub | Google Cloud | Google Cloud Platform | Hadoop | Hive | Informatica | Jenkins | Microsoft Visio | PowerDesigner | PySpark | SQL | Stored Procedures | Teradata
Education
Roles
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