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Job Benefit

  • Allowances
  • Incentive bonus
  • Health checkup
  • Training & Development
  • Salary review
  • Seniority Allowance
  • Annual Leave

Job Description

  • Design, maintain, and develop data pipelines (batch and real-time pipelines) to collect data from multi-sources. 
  • Build the Data Warehouse Architect.
  • Build Dimensional Data Modeling.
  • Perform data profiling and analysis to identify data quality issues and implement appropriate solutions.
  • Collaborate with the team to ensure adherence to data engineering best practices and standards; with other units and departments to clarify data logic and business requirements.
  • Monitor and optimize data pipelines for performance, scalability, and reliability.

Job Requirement

Education level, certification:

  • Bachelor‘s degree/higher/equivalent from a well-known university in Information Technology, MIS, Economics,…

Relevant Knowledge/ Expertise:

  • At least 03 year of experience working in the building, maintaining, and developing the Data warehouse.
  • Working experience in related fields: Fintech, Banking, Insurance.
  • Experience with object-oriented/object function scripting languages: Python, Scala is a plus
  • Knowledge in using BI tools (PowerBI/ Metabase/ Pentaho...).
  • Strong experience in using and optimization SQL/PL SQL and Database (Oracle/SQL Server/ MySQL/ DB2,...)
  • At least 03 year of experience using ETL tool (ODI/ Data Stage,...) to build and monitor data pipelines, both batch and realtime.

WHAT WE OFFER:

Mirae Asset Finance Company Vietnam aims to build a "Professional - Friendly - Effective" working environment. Our strategic objective is to provide a working place with attractive package, growth opportunity, and sustainable development.

  • Attractive packages with 13th salary year-end bonus and a week trip to Korea in order to recognize all your good performance and effort at MAFC.
  • 15 days annual leave.
  • Annual health check, company events.
  • Annual healthcare insurance package from senior level and above.
  • Young and proactive environment; no barriers, no limitation for new idea.
  • Flexible internal career opportunity.
Job tags: Data Engineer

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