Responsibilities:
- Design, construct, install, test and maintain highly scalable data platform in SAP and non-SAP environments.
- Ensure systems meet business requirements and industry practices, particularly in the food and beverage retail sector.
- Analyze business requirements and create conceptual, logical, and physical data models.
- Design database tables, columns, and relationships, and document data flow and dependencies.
- Build high-performance algorithms, prototypes, models and proof of concepts.
- Develop data set processes for data modeling, mining and production.
- Integrate new data management technologies and software engineering tools into existing structures.
- Research opportunities for data acquisition and new uses for existing data in the retail industry.
- Create custom software components and analytics applications.
- Collaborate with other IT team members on project goals.
- Work closely with the Data Lead / Architect to implement data strategies and ensure compliance with industry practices.
Requirements:
- Experience with ETL tools like SAP Data Services, SAP BW data extraction, SLT
- Understanding of data modeling principles and best practices, preferably in an SAP environment like SAC data modelling, S/4 Hana Embedded Analytics, Hana data modelling, BW and/or DWC/Datasphere
- Strong SQL skills, esp on MS SQL server environment, for querying and managing data.
- Experience with data visualization tools like SAP Analytics Cloud or BOBJ.
- Experience with cloud services like AWS, Google Cloud, Microsoft Azure, etc. SAP BTP will be an advantage.
- Experience in programming in SAP or non-SAP environments is an advantage.
- Understanding in SAP ERP or S/4 Hana is a plus.
- Understanding in ML or GenAI is a plus.
- Good command of Chinese Mandarin in speaking and writing is essential as you will be required to liaise with Chinese stakeholders.
Personal Attributes:
- Analytical Skills: Ability to make sense of complex data sets and convert them into actionable insights.
- Problem-Solving Skills: Ability to approach high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and resources.
- Attention to Detail: Precision and attention to detail in data analysis and coding is crucial to avoid errors and ensure the accuracy of the results.
- Communication Skills: Ability to clearly and fluently translate technical findings to a non-technical team, such as the Marketing or Sales departments.
- Teamwork: Ability to work effectively in teams, respecting ideas from team members, and taking on a variety of roles as needed.
- Continuous Learner: Technology is always evolving and it’s important to stay up-to-date with the latest trends and technologies in data engineering and analytics.
