Senor Analytics Engineer
MarTech & Personalization
Description:
NATURE OF WORK
- Lead the technical design and implementation of the data components of ML/AI-centric solutions.
- 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 data pipelines that will be used in training, inferencing, and model monitoring workflows:
- Work on the following technical areas
- Implementing data quality and integrity checks and ensure the quality and availability of data sources in accordance with their SLAs.
- Aligning 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
- Creation and maintenance of software packages for use by our Data Scientists to help improve their model development workflow.
- Building CI/CD pipelines to improve time to deployment of data pipelines and proactively catch issues before they hit production
- Building Data Quality checks and monitoring into the system
- Ensure that the team adheres to best practices for code and architecture of data pipelines. Do code and architecture reviews to ensure adherence to best practices
REQUIRED QUALIFICATIONS
- With at least a bachelor's degree in any quantitative discipline (i.e. Computer Science, Math, Physics, etc)
- Having at least 4 years of experience transforming business logic into data models
- Having at least 4 years of experience in creating building and maintaining ETL pipelines