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Data Engineering Specialist


ST LOGISTICS PTE. LTD.
5 hours ago
Posted date
5 hours ago
N/A
Minimum level
N/A
Full-timeEmployment type
Full-time
ITJob category
IT
Job Responsibilities
  • Design and optimise scalable data workflows with subject matter expertise in data loading patterns, data architecture etc.
  • Develop and maintain robust data pipelines that support both real-time and batch processing
  • Extract and integrate data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer.
  • Leverage on SQL to ensure efficient data transformation and analytics
  • Implement data modelling best practices to support AI/ML applications, including schema design, partitioning strategies and indexing for performance optimisation
  • Integrate diverse data sources (e.g. structured, semi-structured and unstructured) into unified data architectures that power AI-driven applications and insights
  • Train advanced models and algorithms suitable for business use - Models include computer vision models, forecasting models, route optimisation etc.
  • Work as a team to ensure data readiness, feature engineering pipelines and reproducibility of experiments
  • Champion data quality and governance by implementing validation, lineage tracking, and compliance standards
  • Serve as data engineer, software engineer, cloud engineer and AI scientist all-in-one

Job Requirements
  • At least Bachelor Degree in Engineering, Economics, Mathematics, Computer Science or related areas
  • Minimum 5-8 years of work experience in a related role dealing with artificial intelligence
  • Advanced understanding in software engineering practices (e.g. Version Control), containerization, CI/CD pipelines
  • Experience with deploying models using frameworks like TensorFlow, PyTorch, and extremely familiar with platforms like Azure, Databricks, Fabric
  • Advanced proficiency in SPARK, Python, Java, SQL, Pandas, Hugging Face, Open AI APIs
  • Familiarity with data manipulation, statistical analysis and machine learning theories. This includes extracting and integration of data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer.
  • Advanced proficiency with both full stack software engineering and data engineering with solid experience with working with Azure etc.
  • Familiar with data ethics and governance including best practices on how data should be managed securely
Related tags
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JOB SUMMARY
Data Engineering Specialist
ST LOGISTICS PTE. LTD.
Singapore
5 hours ago
N/A
Full-time

Data Engineering Specialist