Data Engineer

Questronix Corporation; Pasig; On-site; PHP 558,000 - 1,004,400; Full time

Job summary

A leading data solutions firm in the Philippines is seeking a Data Engineer to design and maintain data pipelines, automate processes with Python, and manage data workloads in AWS. The ideal candidate will have a Bachelor’s degree in a related field, with 3–5 years of experience in data engineering and strong SQL proficiency. This role requires onsite work at Ortigas and offers the opportunity to collaborate with cross-functional teams for data governance and accuracy.

Qualifications

• 3–5 years of experience in data engineering or backend data processing.
• Strong proficiency in Python for automation.
• Advanced knowledge of SQL and relational database optimization.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics.
• Collaborate with teams to ensure data accuracy and governance compliance.
• Deploy and manage data workloads in AWS environments.

Skills

Data pipeline development

Python programming

SQL

AWS data services

ETL processes

Data modeling

Education

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related

Tools

AWS (S3, RDS, Glue, 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

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