Analytics Engineer
Summary
Analytics Engineer at Maya, a Philippine fintech (payments and digital banking), working on anti-fraud data products: designing and maintaining feature stores, ETL pipelines, data marts, and CI/CD microservices that support data scientists building statistical and machine-learning models.
Anti-Fraud
Our Mission
Our goal is for everyone to make bolder choices with their finances.
To get there, we're creating an all-in-one ecosystem of financial services for today's generation of goal-getters. That feat takes extraordinary people-those with the guts to challenge the way things are and transform them into something better.
To be part of Team Maya is to be Bolder for Better.
Description
As an Analytics Engineer, you will be responsible for designing, creating, and maintaining data products—particularly the feature stores and pipelines—as well as packages and processes that support the streamlined creation and deployment of data science solutions. You will also be responsible for the designing, developing, and maintaining data marts to enable effective reporting and informed decision-making by stakeholders.
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 and microservices, to improve time to deployment and proactively catch issues before they hit production
- Provide guidance on best practices for code and architecture of data pipelines and microservices, 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 bachelor's degree in any quantitative discipline (i.e. Computer Science, Math, Physics, etc)
- Having at least 5 years of experience in creating building and maintaining ETL pipelines
- Having at least 1 year of experience in managing stakeholders
About Us
Maya is the all-in-one money platform that is bringing Filipinos bolderways to master their money.It is powered by a unique integrated financial services ecosystem that addresses the ever-evolving needs of today's generation of moneymakers through cutting edge technology.
We lead millions of Filipinos — consumers, businesses,communities, and government agencies alike — into a version ofthe current digital economy that's more inclusive, transparent,and empowering than ever.
We are powered by the country's only end-to-end digital payments company Maya Philippines, Inc. and Maya Bank, Inc. for digital banking services.
Maya Bank, Inc. and Maya Philippines, Inc. are regulated by the Bangko Sentral ng Pilipinas. https://www.bsp.gov.ph/