Data Engineer
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Before you apply
LocationPasig, Metro Manila, Philippines
Work modeon-site
SeniorityMid
Experience3–5 yrs
Company size501–1,000 people
PostedFeb 25, 2026 · 8mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Feb 25, 202691% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
SQL
AWS
S3
RDS
Glue
Lambda
CI/CD
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
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