Lead data engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They lead and manage data engineering projects, design and develop data pipelines, and collaborate with stakeholders to leverage data and data quality.
Requirements
- Lead and manage data engineering projects from inception to completion
- Collaborate with stakeholders to understand strategic objectives and identify opportunities to leverage data and data quality
- Design, develop, and operate modern data architecture approaches to meet key business objectives
- Create, design, and develop intricate data processing pipelines
- Collaborate with data scientists to design scalable implementations of their models
- Write clean and iterative code based on TDD and leverage various continuous delivery practices
- Lead and advise clients on how to use different distributed storage and computing technologies
- Develop data models by selecting from a variety of modeling techniques and implementing the chosen data model
- Be responsible for data governance, data security, and data privacy
- Define the strategy for and incorporate data quality into day-to-day work
Benefits
- Competitive salary
- Opportunities for career growth and development
- Dynamic and inclusive community
- Collaborative work environment
- Autonomy with support and resources