Data Engineer: ETL & Analytics Infra

Internetwork Expert; Makati; On-site; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

HMO

Job summary

Internetwork Expert in the Philippines is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure that support business intelligence, analytics, and data-driven decision-making.

You will design, build, and optimize ETL/ELT pipelines, data warehouses, data lakes, and data marts, while integrating data from multiple sources and ensuring high data quality and governance.

Qualifications

• 2–3 years of data engineering experience.
• Strong SQL skills with relational databases.
• Hands-on ETL development and data pipeline management.
• Proficiency in Python, Java or Scala for data processing.
• Knowledge of BI tools such as QlikView or similar.
• Bachelor’s degree in IT/CS/Engineering or related field.
• Understanding of data governance, security, and compliance.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data warehouses, data lakes, and data marts.
• Integrate data from multiple sources and ensure quality.
• Develop and maintain database structures and data models.
• Collaborate with Data Analysts, BI teams, and developers to meet data needs.
• Automate data processing and reporting workflows.
• Troubleshoot data issues and implement long-term solutions.
• Document data architecture, processes, and specs.

Skills

SQL

ETL development

Python/Java/Scala

BI tools

Data governance

Education

Bachelor's Degree in IT/CS/Engineering

Tools

SQL Server

PostgreSQL

MySQL

Job description

Internetwork Expert in the Philippines is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure that support business intelligence, analytics, and data-driven decision-making.

You will design, build, and optimize ETL/ELT pipelines, data warehouses, data lakes, and data marts, while integrating data from multiple sources and ensuring high data quality and governance.