Data Engineer: Build Scalable Pipelines in Wellness Retail

Michael Page International Recruitment (Philippines) Inc; Quezon City; On-site; PHP 1,000,000 - 2,000,000; Full time

Benefits offered by this job

Opportunities for professional growth

Comprehensive employee benefits

Large organization with focus on创新

Supportive and collaborative work env

Dayshift, 2x RTO per week in Quezon Ci

Job summary

Michael Page International Recruitment (Philippines) Inc. is seeking a Data Engineer to build scalable data pipelines, design storage solutions for analytics, and integrate data from multiple sources to power retail decisions.

You will work with data analysts and scientists to provide clean, reliable datasets. The ideal candidate has Python and SQL experience, data modeling, ETL knowledge, and cloud experience with AWS and Databricks.

Qualifications

• Proficiency in Python and SQL; DAX familiarity is a plus.
• Solid data modeling and ETL design/implementation experience.
• Experience with AWS and Databricks in a cloud data platform.
• Ability to collaborate with analysts/scientists to deliver clean datasets.

Responsibilities

• Build and maintain scalable data pipelines for large data volumes.
• Design and optimize data storage for analytics and business needs.
• Integrate data from multiple sources into a unified platform.
• Ensure data integrity, security, and regulatory compliance.
• Monitor and troubleshoot pipelines and systems to ensure availability.
• Collaborate with analysts/scientists to provide reliable datasets.
• Document data engineering processes and maintain documentation.
• Evaluate and adopt new data engineering tools and technologies.

Skills

Python

SQL

DAX

Data modeling

ETL

Team collaboration

Tools

AWS

Databricks

Big data frameworks

Job description

Michael Page International Recruitment (Philippines) Inc. is seeking a Data Engineer to build scalable data pipelines, design storage solutions for analytics, and integrate data from multiple sources to power retail decisions.

You will work with data analysts and scientists to provide clean, reliable datasets. The ideal candidate has Python and SQL experience, data modeling, ETL knowledge, and cloud experience with AWS and Databricks.