Cloud Data Engineer

Job Overview :

The Cloud Data Engineer will build scalable, cloud-native data pipelines. The ideal candidate must have a strong foundation in Python and AWS technologies.

The role follows a hybrid work arrangement, requiring regular onsite work at UP Ayala Technohub in Quezon City. Candidates must be willing to report onsite, work on mid-shift and graveyard schedules, and observe U.S. holidays instead of Philippine holidays.

Key Responsibilities :

• Design, build, and maintain cloud-based data pipelines and workflows that support analytics and operational systems.
• Integrate data from various sources using APIs and cloud services.
• Develop clean, efficient, and test-driven code in Python for data ingestion and processing.
• Optimize data storage and retrieval using big data formats like Apache Parquet and ORC.
• Implement robust data models, including relational, dimensional, and NoSQL models.
• Collaborate with cross-functional teams to gather and refine requirements and deliver high-quality solutions.
• Deploy infrastructure using Infrastructure as Code (IaC) tools such as AWS CloudFormation or CDK.
• Monitor and orchestrate workflows using Apache Airflow or Dagster.
• Follow best practices in data governance, quality, and security.

Salary Range : Php 60, 000 to Php 80, 000 (depending on experience)

Nature of Engagement : Project-based for 6 months with a possibility of extension

Work Location : UP Ayala Technopark, QC

Others : US Holidays will be observed instead of PH holidays