- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field
- With at least 5 years of experience in data engineering, data architecture, or analytics in enterprise environments
- Proficiency in SQL and Python, with hands-on experience in building and optimizing data pipelines
- Expertise in cloud platforms such as Azure, AWS, or GCP, including data lake and warehouse solutions
- Strong understanding of data governance, data quality frameworks, and metadata management
- Experience with ETL tools and real-time data streaming
- Familiarity with AI/ML workflows, including data preparation and model integration into production systems
- Excellent problem-solving skills, with the ability to translate business needs into technical solutions
- Strong communication and collaboration abilities, especially in cross-functional and multi-disciplinary teams
- Knowledge of healthcare data standards (e.g., HL7, FHIR) is highly desirable
.Gleneagles always prioritizes staff's well-being and work-life balance. Join us now to enjoy our enhanced leave package with Family Car e Leave, Birthday Leave, etc! We also offers Voluntary Provident Fund Scheme - employer's contributions including MPF equal to 8% of employee'sbasic salary, with no cap. Join us and let us be your long-term partner through your journey of career development!