Senior Analytics Engineer: Data Platforms & Pipelines

Maya Bank; Manila; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Maya Bank is seeking a Senior Analytics Engineer to design, develop, and monitor data products and pipelines supporting data science workflows. You will build feature stores, implement data quality checks, and collaborate with governance to mature data infrastructure.

You will mentor junior engineers, drive CI/CD for data pipelines, and communicate complex architectures to diverse audiences while documenting systems and architecture.

Qualifications

• Bachelor's degree in a quantitative discipline (e.g., Computer Science, Math, Physics)
• 4+ years building and maintaining production ETL/ELT pipelines, incl. 1 year in leadership/mentoring
• 4+ years managing stakeholders across technical and non-technical audiences
• Proven experience using dbt for data transformation in production environments

Responsibilities

• Design datasets with Data Scientists for ML models
• Develop and maintain feature stores and pipelines for training and real-time features
• Implement data quality checks and ensure data source SLA adherence
• Collaborate with Data Engineering and Governance to mature data
• Create and maintain software packages for Data Scientists' workflows
• Build CI/CD pipelines to accelerate deployment of data pipelines
• Provide guidance on code and architecture and perform reviews for best practices
• Communicate architecture and solutions to broad audiences
• Document architecture and systems clearly
• Build infrastructure enabling self-serve pipelines and mentor others

Skills

Cloud data warehouses

SQL/Spark

ETL/ELT pipelines

dbt for ETL

Mentoring junior engineers

Python/R/Bash

Airflow

Agile/DevOps/TDD

Stakeholder communication

Tools

Airflow

Job description

Maya Bank is seeking a Senior Analytics Engineer to design, develop, and monitor data products and pipelines supporting data science workflows. You will build feature stores, implement data quality checks, and collaborate with governance to mature data infrastructure.

You will mentor junior engineers, drive CI/CD for data pipelines, and communicate complex architectures to diverse audiences while documenting systems and architecture.