Data Engineer - Singapore - BREADTALK GROUP PTE. LTD.

Description

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.