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About This Job

Work Location

  • Hồ Chí Minh (Quận 1)

Job Level

  • Experienced (Non - Manager)

Job Type

  • Permanent

Qualification

  • Bachelor

Experiences

  • 3 - 6 Years

Salary

  • Negotiable

Industry

  • Finance / Investment,IT - Software

Department

  • CNTT và Phân tích dữ liệu

Deadline to Apply

  • 30/10/2026

Contact Person

  • Ms Trang
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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.

Job Requirement

  • 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
Job tags:Senior Data Engineer
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