AI Data Platform Engineer — ETL, Snowflake & BI

Teradyne; Lapu-Lapu; On-site; PHP 800,000 - 1,500,000; Full time

Job summary

Teradyne in the Philippines is seeking a data engineering professional to design and maintain scalable data integration pipelines and analytics-ready datasets. You will own ETL/ELT processes, data models, and governance across enterprise platforms, including Snowflake, Informatica Cloud, and Power BI.

The role requires hands-on experience in data platform engineering, BI administration, and the ability to work with cross-functional teams to enable data-driven decision making.

Qualifications

• Bachelor’s degree in Business or Information Systems.
• 4+ years in Data Engineering, Analytics Engineering, Data Platform Engineering, BI Administration, or related roles.

Responsibilities

• Design, develop, and maintain scalable data integration and data processing solutions across enterprise platforms.
• Build and optimize ETL/ELT pipelines using modern cloud-based technologies.
• Develop and maintain data models, datasets, and supporting architecture for analytics, automation, and operational reporting.
• Ensure data quality, reliability, performance, and governance across supported platforms.
• Support platform modernization, migration, and continuous improvement initiatives.
• Administer and support enterprise data platforms including Snowflake, Informatica Cloud, Power BI, and related technologies.
• Monitor platform health, performance, security, and operational usage.
• Troubleshoot complex technical issues and coordinate resolution activities across multiple teams.
• Participate in platform upgrades, maintenance activities, and governance initiatives.
• Develop and maintain operational documentation, standards, and procedures.

Skills

Problem solving

Ownership

Teamwork

Adaptability

Education

Bachelor’s degree in Business/Information Systems

Tools

Informatica IICS/CDI-PC

Snowflake

Power BI

Job description

Teradyne in the Philippines is seeking a data engineering professional to design and maintain scalable data integration pipelines and analytics-ready datasets. You will own ETL/ELT processes, data models, and governance across enterprise platforms, including Snowflake, Informatica Cloud, and Power BI.

The role requires hands-on experience in data platform engineering, BI administration, and the ability to work with cross-functional teams to enable data-driven decision making.