Analytics Engineer

ABOUT US

Maya is the all-in-one money platform that is bringing Filipinos bolder ways 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 money makers through cutting edge technology. 

We lead millions of Filipinos — consumers, businesses, communities, and government agencies alike — into a version of the 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. www.bsp.gov.ph

OUR VISION

Be the #1 financial services ecosystem in the Philippines through leading-edge technology.

Overview:

As an Analytics Engineer, you will be responsible for the design, development and monitoring of data products (especially feature store), packages and processes that will help streamline the creation and deployment of data science solutions made by our Data Scientists.

What you will do:
•    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

What we are looking for:
•    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

OUR MANTRA

Our defiance isn’t without reason. The questions we dare to ask aren’t without cause. We challenge the way things are to transform into something better – as humans, employees, collaborators, and enablers.

To be part of Team Maya is to be Bolder for Better.