Data Engineer (Digital Health R&D)

• Monday - Friday • Healthcare Sector • Completion Bonus Responsibilities • Design, build and maintain data pipelines for digital health and clinical study data. • Manage data ingestion, transformation, storage, quality checks and delivery of analysis-ready datasets. • Develop and maintain pipeline code using Python and SQL . • Support analysis of wearable sensor and time-series data. • Apply machine learning, deep learning and AI/LLM technologies to support digital health initiatives. • Monitor data quality, troubleshoot pipeline issues and ensure data is traceable and reproducible. • Build and maintain internal APIs and data platforms supporting AI and analytics applications. • Collaborate with data scientists, clinical teams and other stakeholders to support study and research objectives. • Drive improvements in data processing efficiency, integrity and quality. Requirement • Minimum Degree in Computer Science, Data Engineering, Analytics, AI or related discipline • Minimum 3 years of experience in Data Engineering, Data Analysis and Algorithm Development • Strong proficiency in Python and SQL • Experienced with cloud platforms such as AWS, Azure or GCP We regret to inform you that only shortlisted candidate will be notified. Choek Wei Qi Joel | R1877109 Recruit Lync Pte Ltd | 22C1000