Data Engineer

Questronix Corporation 2; Pasig; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Questronix Corporation 2 is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ETL processes for analytics and business operations. You will develop Python scripts to ingest, transform, and validate datasets, and optimize SQL schemas for performance.

The role requires 3-5 years in data engineering, strong Python and SQL skills, and hands-on experience with AWS data services. Onsite work at Ortigas, with collaboration across analysts, developers, and business teams

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field.
• 3-5 years of experience in data engineering, data pipeline development, or backend data processing.
• Strong proficiency in Python for data processing and automation.
• Advanced knowledge of SQL, data modeling, and relational database optimization.
• Hands-on experience with AWS data services (e.g., S3, RDS, Glue, Lambda, or similar).
• Experience building ETL pipelines and handling structured and semi-structured data.
• Familiar with version control, CI/CD workflows, and Agile methodologies.
• Strong analytical mindset with good documentation and communication skills.
• Can work fully onsite at Ortigas

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes for analytics and operations.
• Develop data processing scripts and automation using Python.
• Design and optimize SQL queries, schemas, and data models for performance and reliability.
• Deploy and manage data workloads in AWS environments with security and scalability.
• Collaborate with analysts, developers, and business teams to ensure data accuracy and governance.

Skills

Python

SQL

Data modeling

ETL pipelines

CI/CD

Agile

Documentation

Communication

Education

Bachelor's degree in CS/IT/Data Eng

Tools

AWS S3

AWS RDS

AWS Glue

AWS Lambda

Job description

Job Description:

• Design, build, and maintain scalable data pipelines and ETL processes to support analytics and business operations.
• Develop data processing scripts and automation using Python to ingest, transform, and validate datasets.
• Design and optimize SQL queries, schemas, and data models for performance and reliability.
• Deploy and manage data workloads in AWS environments ensuring security, monitoring, and scalability.
• Collaborate with analysts, developers, and business teams to ensure data accuracy, availability, and governance compliance

Requirements

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or any related course.
• 3-5 years of experience in data engineering, data pipeline development, or backend data processing.
• Strong proficiency in Python for data processing and automation.
• Advanced knowledge of SQL, data modeling, and relational database optimization.
• Hands‑on experience with AWS data services (e.g., S3, RDS, Glue, Lambda, or similar).
• Experience building ETL pipelines and handling structured and semi‑structured data.
• Familiar with version control, CI/CD workflows, and Agile methodologies.
• Strong analytical mindset with good documentation and communication skills.
• Can work fully onsite at Ortigas