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...).
• Experience with object-oriented/object function scripting languages: Python, Scala is a plus
• 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.