Ho Chi Minh City, Vietnam
about 1 hourQuan 1, Ho Chi Minh, Viet Nam
Our client is an organization leveraging modern cloud data platforms to support enterprise analytics, executive reporting, and centralized data management. Its data environment focuses on scalable data pipelines, cloud infrastructure automation, distributed processing, and reliable data governance.
Role overview:
The Data Engineer will design, build, and operate scalable data pipelines on a modern cloud lakehouse platform. The role focuses on cloud infrastructure automation, data processing, data transformation, data modeling, and production reliability to support analytics and reporting.
Key responsibilities:
Data Infrastructure & Automation Develop and maintain Terraform code to provision cloud resources and automate Databricks configuration, workspace management, access controls, and Unity Catalog.
Data Pipeline Development Design and implement batch and near-real-time ETL/ELT pipelines using PySpark, Apache Spark, Kafka, and change data capture mechanisms.
Lakehouse Optimization Build and maintain Delta Lake datasets, applying optimization techniques to improve data quality and query performance.
Data Modeling & Transformation Develop SQL transformations and dbt workflows, maintain dimensional data models, and implement automated data quality testing and documentation.
DataOps & Monitoring Monitor data workflows, troubleshoot pipeline failures and performance issues, and maintain pipeline reliability against business SLAs.
CI/CD & Collaboration Work with DevOps and cross-functional teams to implement automated testing and deployment of data assets.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
2–4 years of hands-on experience in Data Engineering or Big Data development.
Practical experience with Terraform, the Databricks Terraform Provider, Databricks, Unity Catalog, Delta Lake, and cloud infrastructure.
Proficiency in PySpark or Apache Spark, advanced SQL, dbt, and data pipeline optimization.
Experience with Apache Airflow or Databricks Workflows for data orchestration.
Familiarity with cloud storage and processing services, event streaming platforms, or change data capture tools.
Strong analytical, problem-solving, communication, and cross-functional collaboration skills, with attention to data accuracy and ownership of production reliability.
[Missing: Language requirements]
To apply, please send your updated CV to Jonny at Jonny.Nguyen@cornerstoneglobalpartners.com, quoting the job title, or click Apply Now.
Due to an anticipated high volume of applicants, we regret that only shortlisted candidates will be notified.
