AI Data Engineer for Cloud Analytics & Automation

Teradyne

Davao City

On-site

PHP 900,000 - 1,300,000

Full time

3 days ago

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Job summary

Teradyne is seeking an experienced Data Engineer to design, build, and optimize data integration and analytics platforms in the Philippines. You will work on scalable pipelines, data models, and governance across enterprise systems, collaborating with cross-functional teams to enable reliable reporting and AI-enabled automation.

The role requires strong SQL, data modeling, and BI skills, with hands-on experience in Snowflake, Informatica Cloud, and Power BI.

Qualifications

4+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, BI administration, 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 experience with Snowflake: SQL development, performance optimization, data modeling, security concepts, and operational monitoring.
Hands-on experience administering Power BI: workspaces, datasets, semantic models, refresh schedules, gateways, security, and reports.

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.
Identify opportunities to eliminate manual processes through automation and technology solutions.
Design and implement automated workflows, integrations, and operational controls.
Develop reusable frameworks, scripts, and tools that improve efficiency and reduce operational overhead.
Promote best practices for automation, operational excellence, and continuous improvement.
Support AI-driven and intelligent automation initiatives across the organization.
Develop, administer, and optimize Power BI reporting solutions, semantic models, and dashboards.
Support enterprise reporting, data visualization, and self-service analytics initiatives.
Ensure data consistency, governance, and security across reporting environments.
Work with business and technical stakeholders to translate requirements into analytical solutions.
Deliver actionable insights through data visualization and performance reporting.