Job Description
Our client, a leading global IT service provider,is recruiting for a Data Engineering System Engineer to join their business inGermany.
Responsibility:
1. Design and implement high-performance Oracle and Gauss DWS database solutions, including performance tuning and migration projects.
2. Develop and maintain real-time data warehouses, leveraging CDC for real-time data synchronization, and constructing data pipelines with ETL tools like Kettle and DataStage.
3. Provide supply chain insights through Oracle Demantra for S&OP demand forecasting and planning management.
4. Collaborate with global teams to support regional digital operation platforms, ensuring data accuracy and availability.
5. Manage and optimize diverse database systems (such as PostgreSQL, DB2, SQL Server), addressing cross-platform integration challenges.
6. Oversee project management, encompassing requirement analysis, solution design, system implementation, and post-implementation support.
7. Work with business units to deliver analytical services, enabling data-driven decision-making strategies.
8. Adapt to cross-cultural and cross-time zone collaboration, providing professional consulting services to clients in industries like finance, insurance, and manufacturing.
Requirements:
9. Hold Oracle OCA and OCP certifications with over 5 years of BI/DW experience, specifically in real-time data warehouses.
10. Proficient in Gauss DWS with experience in cluster management and performance optimization.
11. Expertise in supply chain management and Oracle Demantra system.
12. Familiarity with multiple database systems (e.g., PostgreSQL, DB2) and ETL tools.
13. Proven track record in projects within the banking, insurance, FMCG, and manufacturing sectors.
14. Skilled in database administration and scripting on Linux/Unix environments.
15. Excellent project management and communication skills for coordinating across teams and departments.
16. Language Requirement: Mandarin, English