7 months ago
Vietnam (city not specified)Entry Level
Responsibilities
- Design, build, and maintain scalable data platforms on Google Cloud Platform for clients.
- Develop data engineering solutions involving ETL/ELT pipelines, data modeling, data integration, data lakes, and data warehouses.
- Implement and operate data pipelines and orchestration using tools such as Cloud Composer, Apache Airflow, Dataflow, Dataproc, dbt, and Spark.
- Apply containerization, Infrastructure as Code, code version control, CI/CD, and automated testing practices.
- Support data quality checks, monitoring, alerting, data lineage, system reliability, and data governance.
- Support data pipelines for AI/ML workloads and work with LLM and agentic systems, including prompt engineering, fine-tuning, evaluation, and responsible AI tooling.
- Collaborate with clients, colleagues, partners, regional teams, and Singapore-based teams.
Requirements
- At least 3–7 years of relevant experience in data engineering, software engineering, or a related technical field.
- Experience with Python, SQL, ETL/ELT pipeline design, data modeling, and data integration.
- Hands-on GCP experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Dataplex, Cloud Functions, Cloud Run, GKE, and Cloud IAM.
- At least 3 years of implementation experience with serverless computing, CI/CD, containerization, Infrastructure as Code, code version control, and automated testing.
- Experience with transactional databases such as PostgreSQL, MySQL, or SQL Server.
- Familiarity with AI/ML concepts and supporting data pipelines for ML workloads such as Vertex AI.
- Hands-on experience with Docker, Terraform or Deployment Manager, and data pipeline or orchestration tooling.
- Experience with streaming data platforms such as Apache Kafka or Pub/Sub is a plus.
- Experience with LLM and agentic tooling such as LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, Google Vertex AI, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, or Google PAIR.
- GCP certifications such as Google Cloud Professional Data Engineer or Professional Cloud Architect are a plus.
- Strong English communication skills and the ability to communicate effectively with clients and stakeholders.
- A proactive, curious approach and a strong desire to learn and grow.
Benefits
- 12-month contract based in Vietnam.
- Opportunity to work with regional and Singapore-based teams on client data solutions.
- Opportunity to contribute to an AI and data team and develop relationships with clients, colleagues, and partners.
Tech Stack
Apache AirflowApache KafkaApache SparkdbtDockerGoogle BigQueryGoogle Cloud PlatformHugging Face TransformersMicrosoft SQL ServerMLflowMySQLPostgreSQLPythonSQLTerraform
Categories
Data Engineering
About Temus
Temus is a Singapore-headquartered consulting and IT services firm that delivers digital transformation for public- and private-sector organizations, from strategy and design to software engineering, data/AI, and low-code solutions. Founded in 2021 and backed by Temasek, it focuses on projects in Singapore and the region, including work aligned with the government’s Smart Nation agenda.