GCP Data Engineer I Vietnam (12 mths contract)
Core
Design, build, and maintain scalable data platforms on Google Cloud Platform (GCP) for clients in the private and public sectors.
Role type
GCP Data Engineer
Builds
Scalable data platforms, data pipelines, and AI/ML data workloads on GCP
Domain
Cloud Data Engineering & AI Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, ETL/ELT pipeline design, data modeling, GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions, GKE), serverless computing, CI/CD, containerization, Infrastructure as Code, automated testing, transactional databases (PostgreSQL, MySQL, SQL Server), data pipeline orchestration (Airflow, dbt, Spark), streaming data platforms (Kafka, Pub/Sub), data quality checks, monitoring, alerting, data lineage, LLMs, agentic tooling (LangChain, LangGraph, AutoGen, CrewAI), prompt engineering, fine-tuning, evaluation frameworks
Preferred skills
GCP certifications (Google Cloud Professional Data Engineer, Professional Cloud Architect), experience with Vertex AI, MS Fairlearn, Google PAIR
Technologies
GCP (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Dataplex, Cloud Functions, Cloud Run, GKE, Cloud IAM), Apache Airflow, Cloud Composer, dbt, Spark, Apache Kafka, Docker, Terraform, Deployment Manager, LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, Hugging Face Transformers, MLFlow, Dataiku
Responsibilities
Design and implement data engineering solutions on GCP, develop and maintain data pipelines for ML workloads, ensure data quality and governance, collaborate with regional and Singapore-based teams, support AI/ML initiatives using LLMs and agentic systems
Seniority
Mid-level, hands-on IC