Data Management 数据管理员

Objective of job (abbreviated)
•Central person of contact in DWH development and operation.
•Strong expertise and experience in operational and service management with enterprise level data warehouse.
•Work with steakholders throughout Daimler China Financial Service for routine data and reporting related topics.

Main tasks
1.Development.
-Lead and coordinate the Financial Service China data warehouse development.
-Consult the business units as well as the IT application owners with the aim to create the best solution.
-Act as developer within the IT application domain and contribute in the solution design phase
-Collaborate and support the test engineer to do the test and fix bugs
2.Operation
-Provide L3/2 support for production IT incident
-Lead L1 operation support staff in daily work
-Create requirements and procedures for implementing routine maintenance
-Manage and coordinate the environment in cooperation with the operation team, which is responsible for the infrastructure
-Ensure the daily operation smoothly and properly. Make recommendation on efficiency improvement and process optimization
3.Compliance & Legal Follow
-Be compliant with FCPA processes for IT controls for the required applications
-Make sure the DWH related projects follow legal requirements

Qualification 
1. Education
•Univerisity degree (Master is preferred) in computer science, information system management, Software Engineering or equivalent.
2. Experience:
•Above 5+ years’ experience in Microsoft Data/Business Intelligence Platform.
•Operational and service management experience with enterprise level data warehouse is required.
•Good team spirit and attention for detail, ability to work with different business units executives in a collaborative fashion, adaptability and strong communication & interpersonal skills
•Ability to organize and conduct area of responsibility with little supervision while managing multiple tasks simultaneously.
3. Knowledge/Skill:
•Proficient with Data Warehouse Design and Implementation •Proficient with MS SQL Server 2016 Integrating Service (SSIS)
•Proficient with MS SQL Server 2016 Analysis Services (SSAS)•Proficient with MS SQL Server 2016 Reporting Service (SSRS)
•Proficient with T-SQL Creation and Tuning
•Proficient with Data quality management
•Deep understanding of Star Schema and Snowflake Schema Design
•Deep understanding of MS BI Project Systems Development Life Cycle (SDLC)
•Big Data knowledge is a plus

Usage of Cookies

Daimler uses cookies for optimal visualization and ongoing improvement of the website. By using this website you agree to the usage of cookies.