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Senior Analytics Engineer

MarTech & Personalization

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 a Lead Analytics Engineer, you will be responsible for the technical design, development and monitoring of data products, data engineering pipelines, feature store platform, and packages and processes that will help streamline the creation and deployment of data science solutions made by our Data Scientists. You will also be mentoring other engineers in their technical and professional growth.

 

NATURE OF WORK

  • Lead a team of analytical engineers in supporting 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
  • Set the technical direction of the analytics engineering domain within the MarTech and Personalization DS group and manage the technical quality of data solutions. This may include:
    • Implementing data quality and integrity checks and ensure the quality and availability of data sources in accordance with their SLAs.
    • Proactively 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
    • 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
  • 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
  • Having at least 2 years of experience in managing stakeholders
  • Having at least 1 year of experience in leading other engineers/developers

 

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. https://www.bsp.gov.ph/

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