- Manage data engineering projects through the full cycle
- Identify and underline business initiatives from a data engineering perspective
- Design, construct, install, test, and maintain highly scalable data management systems
- Ensure systems meet business requirements and industry practices
- Design, implement, automate, and maintain large-scale enterprise data ETL processes
- Build high-performance algorithms, prototypes, predictive models, and proof of concepts
- Develop the data infrastructure
- Develop Python pipelines, and table data sets, exploring the logging to develop analytics data sets
- Working on dashboard, and data visualization to create insights
- Build high-performance algorithms, prototypes, predictive models, and proof of concepts
- Big data volume is in billions so someone familiar with that volume
- Model the data in a way it can be queried
- Ability to work as part of a team, as well as work independently or with minimal direction
- Excellent written, presentation, and verbal communication skills
- Collaborate with Software Engineers, Data Scientists & Product Managers on project goals
- Bachelor's degree in a technical field such as computer science, computer engineering, or related field required