AI-Driven Data Platform Engineer

LitePoint

Lapu-Lapu

On-site

PHP 600,000 - 1,200,000

Full time

14 days+
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Job summary

Teradyne in the Philippines is seeking a Data Platform Engineer to design, develop, and maintain scalable data integration and processing across enterprise platforms.

You will build ETL/ELT pipelines, develop data models and analytics architectures, and ensure data quality, governance, and performance. You’ll support platform modernization and upgrades across Snowflake, Informatica Cloud, and Power BI within cloud environments.

Qualifications

  • 4+ years of experience in Data Engineering, Analytics Engineering, or related roles.
  • Bachelor’s degree in Business, Information Systems, or a related field.
  • Hands-on experience with Informatica Intelligent Cloud Services (IICS / CDI-PC).
  • Hands-on advanced experience with Snowflake, including SQL development, data modeling, security concepts, and monitoring.
  • Hands-on experience administering and developing in Power BI, including workspaces, datasets, and reports.

Responsibilities

  • Design, develop, and maintain scalable data integration and processing solutions.
  • Build and optimize ETL/ELT pipelines using cloud technologies.
  • Develop data models, datasets, and analytics architecture.
  • Ensure data quality, governance, and performance across platforms.
  • Support platform modernization, upgrades, and governance initiatives.

Skills

Data engineering
Analytics engineering
Problem solving
Power BI administration

Education

Bachelor’s degree in Business, Information Systems, or a related field

Tools

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

Job description

Teradyne in the Philippines is seeking a Data Platform Engineer to design, develop, and maintain scalable data integration and processing across enterprise platforms.

You will build ETL/ELT pipelines, develop data models and analytics architectures, and ensure data quality, governance, and performance. You’ll support platform modernization and upgrades across Snowflake, Informatica Cloud, and Power BI within cloud environments.

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