Data Engineer — Scalable ETL & Analytics Pipelines

Magestic; Caloocan; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Magestic is seeking a Data Engineer to develop and maintain scalable ETL pipelines, integrating data from diverse sources for analytics and reporting. You will design, implement, and optimize data processing scripts and queries, ensuring data quality and consistency across systems.

The role requires a minimum of 2 years in data engineering and hands-on experience with ETL tools and programming in Python or Java.

Qualifications

• Bachelor’s degree in Computer Science, BS Computer Engineering, Information Systems, or related field.
• Minimum 2 years of data engineering experience.
• Experience with ETL processes/tools and strong programming skills (Python, Java, etc.).

Responsibilities

• Develop and maintain scalable ETL pipelines to integrate data from various sources to support analytics and reporting needs.
• Develop, implement, and maintain scripts and queries that import, clean, transform, and validate data.
• Create and maintain technical documentation related to table structures and ETL processes.

Skills

ETL

Python

Java

Data integration

Education

Bachelor's degree in Computer Science

BS Computer Engineering

Information Systems

Tools

ETL tools

Job description

Magestic is seeking a Data Engineer to develop and maintain scalable ETL pipelines, integrating data from diverse sources for analytics and reporting. You will design, implement, and optimize data processing scripts and queries, ensuring data quality and consistency across systems.

The role requires a minimum of 2 years in data engineering and hands-on experience with ETL tools and programming in Python or Java.