Analytics Engineer
Maya Philippines View all jobs
- Mandaluyong City, Metro Manila
- Permanent
- Full-time
- Work with our Data Scientists to design datasets that are useful for creating statistical and machine-learning models.
- Design, develop, and maintain feature stores as well as the accompanying feature pipelines that will be used in creating training data as well as batch inference features.
- Implement data quality and integrity checks and ensure the quality and availability of data sources in accordance with their SLAs.
- Align with Data Engineering and Data Governance team to achieve maturity in the data.
- Be the expert on various business or data domains to support the data science initiatives
- Create and maintain software packages for use by our Data Scientists to help improve their model development workflow.
- Build CI/CD pipelines to improve time to deploy data pipelines and proactively catch issues before they hit production
- Provide guidance on best practices for code and architecture of data pipelines and do code and architecture reviews to ensure adherence to best practices
- Communicate technical architecture and solutions, as well as explain the competitive advantage of various technologies to a broad audience
- Create and maintain architecture and systems documentation
- With at least a bachelor's degree in any quantitative discipline (i.e. Computer Science, Math, Physics, etc)
- Having at least 3 years of experience transforming business logic into data models
- Having at least 3 years of experience in creating building and maintaining ETL pipelines
- Having at least 1 year of experience in managing stakeholders