6 hours ago
Singapore, SingaporeSenior
Responsibilities
- Serve as a developer for complex AI applications and transition prototypes into production-grade agentic workflows.
- Co-build with customer engineering teams and establish development practices that support long-term adoption.
- Design and build high-throughput batch and streaming data pipelines and utilities for evaluation datasets and model intelligence mining.
- Construct ETL/ELT pipelines, enterprise data marts, and semantic modeling layers using Dataform, dbt, BigQuery, or Dataproc.
- Create scalable synthetic data generation systems that preserve referential integrity for benchmarking and fine-tuning.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Five years of experience with software development and data engineering using SQL, Python, Java, Scala, or Go.
- Experience with ETL/ELT frameworks such as dbt or Dataform and with enterprise data modeling layers or data marts.
- Preferred: master’s degree or PhD in a relevant technical field.
- Preferred: experience with semantic metadata formats, enterprise taxonomies, ontologies, large-scale data warehouses, or data lakes.
- Preferred: deep experience designing batch, offline, and online LLM evaluation harnesses and intelligence mining jobs.
- Preferred: advanced synthetic data generation experience using tools such as Faker, Snowfakery, or custom constraint engines.
- Preferred: practical knowledge of secure code execution harnesses and interpreter sandboxes for automated data analysis.
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh