Data Engineer

Open 29d

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

What this application asks