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