AI Data Platform Engineer: Data, Automation & BI

Teradyne Philippines, Ltd. - Cebu

Lapu-Lapu

On-site

PHP 1,200,000 - 1,800,000

Full time

14 days+
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Job summary

Teradyne Philippines, Ltd. - Cebu is seeking a Data Platform Engineer to design, develop, and maintain scalable data pipelines and analytics solutions. You will build ETL/ELT processes in cloud environments and ensure data quality across enterprise systems.

Responsibilities include data modeling, governance, and maintaining BI assets in Power BI, while collaborating with cross-functional teams to modernize our data platforms and automate operations.

Qualifications

  • 4+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, BI administration, or related roles.
  • Hands-on experience with Informatica Intelligent Cloud Services (IICS / CDI-PC).
  • Hands-on experience with Snowflake, SQL development, data modeling, security concepts, and monitoring.
  • Experience administering and developing in Power BI, including workspaces, datasets, and reports.

Responsibilities

  • Design, develop, and maintain scalable data integration and processing solutions across enterprise platforms.
  • Build and optimize ETL/ELT pipelines using modern cloud-based technologies.
  • Develop and maintain data models, datasets, and supporting analytics architecture for reporting and automation.
  • Monitor data quality, governance, security, and platform health; coordinate resolution across teams.

Skills

ETL/ELT pipelines
Snowflake
Power BI
Informatica Cloud
Automation

Education

Bachelor's degree in Business/Information Systems

Tools

Informatica Cloud Services (IICS/CDI-PC)
Snowflake
Power BI

Job description

Teradyne Philippines, Ltd. - Cebu is seeking a Data Platform Engineer to design, develop, and maintain scalable data pipelines and analytics solutions. You will build ETL/ELT processes in cloud environments and ensure data quality across enterprise systems.

Responsibilities include data modeling, governance, and maintaining BI assets in Power BI, while collaborating with cross-functional teams to modernize our data platforms and automate operations.

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