Data Engineer

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.

Education level, certification:
Bachelor‘s Degree/higher/equivalent from a well-known university in Information Technology, MIS, Economics,...
Relevant Knowledge/ Expertise:
At least 2.5 year of experience working in the building, maintaining, and developing the Data warehouse.
At least 2.5 year of experience using ETL tool (ODI/ Data Stage,...) to build and monitor data pipelines, both batch and realtime.
Strong experience in using and optimization SQL/PL SQL and Database (Oracle/SQL Server/ MySQL/ DB2,...).
Knowledge in using BI tools (PowerBI/ Metabase/ Pentaho...). Experience with object-oriented/object function scripting languages: Python, Scala.
Working experience in related fields: Fintech, Banking, Insurance.
Key Skills:
Strong analytical, communication, and problem-solving skills.
Experience in the analysis and design of information systems; data warehouses and dimensional data modeling.