Data Engineer, Digital Supply Chain, Artc

5 days ago

Singapore A*STAR Agency for Science, Technology and Research Full time

Key Responsibilities
1. Build and Maintain Data Infrastructure
- Design, implement, and maintain scalable ELT/ETL pipelines across diverse data sources (SAP, MES, WMS, ERP, IoT, etc.)
- Develop automated data ingestion and transformation processes using modern tools (e.g., Airflow, dbt, Kafka, etc.)
2. Data Modeling & Analytics Support
- Perform data wrangling and preprocessing tailored for ML/AI model training and simulation environments
- Work with AI scientists to prepare datasets for use in time series forecasting, optimization models, and generative AI
3. Collaborate Across Domains
- Liaise with domain experts, supply chain analysts, and software developers to understand operational data needs
- Serve as the bridge between raw data and AI solution pipelines
4. Maintain Data Quality & Governance
- Implement checks, logging, and alerts to ensure high data reliability and traceability
- Ensure alignment with FAIR data principles and secure data handling practices
5. Tooling and Deployment
- Develop containerized and cloud-compatible data solutions (e.g., using Docker, Kubernetes, AWS, Azure)
- Contribute to end-to-end solution integration with dashboards or digital twin systems
Job Requirements
- Bachelor's /Master's degree in Computer Science, Data Engineering, Information Systems, or a related field
- Strong proficiency in Python and SQL; familiarity with PySpark, Pandas, or Dask is a plus
- Proven experience building data pipelines in cloud or hybrid environments
- Familiarity with supply chain data systems (SAP, ERP, MES) and industry-specific data schemas is highly preferred
- Hands-on experience with data lakes, data warehousing, or streaming architectures
- Excellent interpersonal and communication skills; ability to work in cross-functional R&D teams
- Bonus: Familiarity with supply chain KPIs and AI/ML workflows is advantageous

**Type of Employment**: Full-Time
**Minimum Experience**: 3 Years
**Work Location**: 3 Cleantech Loop

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