Objective of job
• Central person of contact in big data platform development, implementation and operations.
• Strong expertise and experience in using a variety of data tools to build and implement data models. Proven ability to drive operation efficiency with data-based insights. Collect data and define technical approach to provide data in the Data Lake.
• Strong expertise and experience in integration management includes architecture design, infrastructure planning, platform build up/configuration, vendor steering and operationalization coordination, through an iterative and Agile development process.
• Responsible for technical requirements, designs, configuration, coding and testing and provide guidance to development team (vendor) and ensure good quality of design and code.
• Work with stakeholders throughout Daimler china data community to identify business opportunities and drive business solutions.
Task description
1. Platform development, operation and optimization.
- Lead ingestion of external and external data source into the data lake.
- Build up and develop data layers on top of the data lake to support business usage.
- Build up and develop data service to various applications.
- Hortonworks components installation, configuration, operation and optimization with support from external vendors.
- Selection and implementation of AI engine.
- Integration of all parties in overall processes in order to solve occurring issues as quick as possible
- Coordination of operationalization.
- Infrastructure planning.
2. Communication and Collaboration
- Contact person in big data platform Implementation & continuous development.
- Ensuring communication within program and project team.
- Reporting, communication and alignment in cross-functional environment.
- Develop, deliver and maintain communication plans and channels with external vendors.
- Ensure use cases data and platform readiness within project team.
3. Compliance & Legal Follow
- Be compliant with FCPA processes for IT controls for the required applications.
- Make sure the big data projects are followed legal requirement.
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