Analytics Engineer

As an Analytics Engineer, you will play a key role in bridging Data Engineering and Data Science. You’ll design, build, and maintain the tools, data pipelines, and frameworks that enable efficient and reliable data workflows. Your work will strengthen the team’s overall data architecture, ensure high data quality, and accelerate the delivery of data science features to production.

NATURE OF WORK

• 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 real-time 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.
• 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

REQUIRED QUALIFICATIONS

• With at least a bachelors degree in any quantitative discipline (i.e. Computer Science, Math, Physics, etc)
• Having at least 2 years of experience in creating building and maintaining ETL pipelines
• Having at least 1 year of experience in managing stakeholders