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 03 year of experience working in the building, maintaining, and developing the Data warehouse.

-  At least 03 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...).

-  Working experience in related fields: Fintech, Banking, Insurance.