Benefits

Job Description

Develop ETL/ELT jobs to ingest, transform, and load data from multiple source systems into Data Warehouse / Data Lake platforms based on the approved analysis and design documents.
Hands-on experience in building and maintaining ETL/ELT pipelines, especially using Oracle Data Integrator (ODI) or Airflow. Troubleshoot and optimize data pipelines to improve scalability, performance, and operational efficiency.
Utilize jobs, workflows, APIs and streaming to manage large-scale data processing workloads.
Support ML/AI initiatives through data preparation, exploratory analysis, and metric definition.
Design and optimize data models, data marts, and data warehouse structures to support analytics and reporting.
Ensure data quality, governance, reliability, and performance across enterprise data platforms.
Mentor a team of engineers while driving best practices in data modeling and system design for data-heavy applications.

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related fields.
Minimum 3+ years in data engineering across large/complex datasets and operate pipelines at scale and integrating multiple source systems.
Solid background in Data engineering best practices.
Strong skills in dbt, Python, PySpark, Spark streaming and Advanced SQL.
Understanding and hands-on exposure to DataOps practices, including CI/CD for data pipelines, monitoring, logging, and data quality automation.
Experience with Git and modern software development practices is a plus

Ho Chi Minh

Tòa nhà Sài Gòn Royal, Tầng 1, 91 Pasteur, P. Bến Nghé, Quận 1