GenAI Data Engineer for Enterprise AI Pipelines

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

GOOGLE ASIA PACIFIC PTE. LTD. in Singapore seeks Forward Deployed Engineers (Data and AI) to embed with customer teams and propel enterprise AI deployments.

You will architect, build, and operationalize end-to-end data and AI workflows using BigQuery, Dataflow, Dataform/dbt, and sandboxed environments to enable safe, scalable model-driven insights. Join a high-impact team to move from rapid prototypes to production-grade pipelines, contributing to enterprise data platforms and multi-terabyte

Qualifications

• Bachelor's degree in Engineering, CS, or related field.
• 5 years of software development and data engineering experience.
• Experience with ETL/ELT frameworks and data modeling.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade workflows.
• Co-build with customer engineering teams to instill Google-grade development practices.
• Design and build high-throughput batch and streaming data pipelines for large evaluation datasets.
• Construct scalable ETL/ELT pipelines using Dataform, dbt, BigQuery, or Dataproc to design enterprise data marts.
• Create mechanisms for large-scale synthetic data generation while maintaining referential integrity.
• Benchmark LLM capabilities via evaluation harnesses and intelligence mining jobs.
• Advanced expertise in synthetic data generation at scale with tools like Faker, Snowfakery.
• Configure and deploy secure code execution harnesses and interpreter sandboxes for automated data analysis.

Skills

5 years of software development and 1

SQL

Python

Java

Scala

Go

ETL/ELT frameworks

Education

Bachelor's degree in Engineering, Computer Science, or related field

Master's degree or PhD in CS/DS/AI or related field

Tools

dbt

Dataform

BigQuery

Dataproc

Text-to-SQL tooling

Job description

GOOGLE ASIA PACIFIC PTE. LTD. in Singapore seeks Forward Deployed Engineers (Data and AI) to embed with customer teams and propel enterprise AI deployments.

You will architect, build, and operationalize end-to-end data and AI workflows using BigQuery, Dataflow, Dataform/dbt, and sandboxed environments to enable safe, scalable model-driven insights. Join a high-impact team to move from rapid prototypes to production-grade pipelines, contributing to enterprise data platforms and multi-terabyte