Analytics Engineer

Maya Bank; Mandaluyong; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Maya Bank is seeking an Analytics Engineer to design, build, and maintain data products, including feature stores and pipelines, and to develop data marts for effective reporting and decision-making.

The role involves collaborating with Data Scientists, creating CI/CD pipelines and microservices, enforcing data quality, and producing architecture documentation to support scalable analytics across the organization.

Qualifications

• Bachelor's degree in a quantitative discipline is required.
• At least 5 years of experience creating, building and maintaining ETL pipelines.
• At least 1 year of experience managing stakeholders.

Responsibilities

• Design, create, and maintain data products, feature stores and pipelines.
• Develop and maintain data marts for reporting and decision-making.
• Implement data quality checks and ensure data availability per SLAs.
• Collaborate with Data Scientists and align with Data Engineering and Governance.
• Create and maintain software packages and CI/CD pipelines for analytics workflows.
• Provide architecture reviews and documentation for data pipelines and microservices.

Skills

ETL pipelines

Stakeholder management

Education

Bachelor's degree in quantitative field

Tools

CI/CD pipelines

Microservices

Job 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 withData 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