# Data Engineer

**Company:** [Octal Philippines Inc.](http://jobs.workable.com/companies/pjCj2GuMbLiToVCHigAygz.md)
**Location:** Makati City, Philippines
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/56f08afe-9b3f-4ada-ab15-a09045414ddb)

## Description

Key Responsibilities:  
  
  
  - Design, develop, and maintain scalable ETL/ELT data pipelines.  
  - Build and optimize data warehouses, data lakes, and data marts.  
  - Integrate data from multiple internal and external sources.  
  - Develop and maintain database structures and data models.  
  - Ensure data quality, integrity, security, and governance.  
  - Monitor and optimize data pipeline performance.  
  - Collaborate with Data Analysts, Business Analysts, and Software Developers.  
  - Automate data processing and reporting workflows.  
  - Troubleshoot data-related issues and document technical specifications.  
  
  
  - Design, develop, and maintain scalable ETL/ELT data pipelines.  
  - Build and optimize data warehouses, data lakes, and data marts.  
  - Integrate data from multiple internal and external sources.  
  - Develop and maintain database structures and data models.  
  - Ensure data quality, integrity, security, and governance.  
  - Monitor and optimize data pipeline performance.  
  - Collaborate with Data Analysts, Business Analysts, and Software Developers.  
  - Automate data processing and reporting workflows.  
  - Troubleshoot data-related issues and document technical specifications.

## Requirements

- Experience: At least 2-3 years in Data Engineering or related roles.  
  - Education: Bachelor's Degree in IT, Computer Science, Engineering, or a related field.  
  - Technical Skills: Strong SQL (SQL Server, PostgreSQL, MySQL) and proficiency in Python, Java, or Scala.  
  - Tools: Hands-on experience in ETL development and knowledge of QlikView or other BI tools.  
  - Domain Knowledge: Understanding of data governance, security, and compliance best practices.