Mô tả công việc
- 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.
Yêu cầu ứng viên
- 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
Thông tin tham khảo
- Thị trường tại Hồ Chí Minh
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- Nguồn tin
- Nguồn: CareerViet · đăng 20/08/2026