Senior GenAI Data Cloud Engineer - FDE

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; Presencial; SGD 140.000 - 200.000; Jornada completa

Descripción de la vacante

GOOGLE ASIA PACIFIC PTE. LTD. is seeking a Forward Deployed Engineer to embed with customers, building production data and ML workloads on Google Cloud.

You will write PySpark, SQL and Python pipelines, stand up proofs with customer data, and move analytics from concept to production using BigQuery, Spanner and AlloyDB. This role demands collaboration with customers and internal teams to design lakehouse architectures, governance, and cost-aware solutions.

Formación

• Bachelor's degree in Engineering, Computer Science, or related field.
• 2 years of software/data engineering, ML, or technical consulting experience.
• Experience with Python and SQL in production workloads.
• Familiarity with cloud data platforms (Spark, BigQuery, Spanner, Knowledge Catalog, AlloyDB).
• Proven ability to move data/ML workloads from concept to production.

Responsabilidades

• Build and ship production data and ML workloads with customers using PySpark, SQL, and Python on BigQuery, Spark, Spanner, AlloyDB.
• Stand up proofs with customer data, including de-identification of sensitive data.
• Create data foundations: lakehouse, metadata, semantic context, and access controls for agents.
• Train, evaluate, and deploy ML/agentic components to improve business metrics.
• Migrate analytics and DB workloads to Google Cloud with cost-performance results.

Conocimientos

PySpark

SQL

Python

BigQuery

Spanner

AlloyDB

Knowledge Catalog

LangGraph

CrewAI

ADK

LLM metrics

RAG

Vector search

Educación

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

Herramientas

Apache Spark

BigQuery

Spanner

AlloyDB

GCP tooling

Descripción del empleo

GOOGLE ASIA PACIFIC PTE. LTD. is seeking a Forward Deployed Engineer to embed with customers, building production data and ML workloads on Google Cloud.

You will write PySpark, SQL and Python pipelines, stand up proofs with customer data, and move analytics from concept to production using BigQuery, Spanner and AlloyDB. This role demands collaboration with customers and internal teams to design lakehouse architectures, governance, and cost-aware solutions.