Location:
Singapore
Salary:
SGD 7-9K pm fixed
Summary:
Our client, a Digital Health Solution Provider, is seeking a Data Engineer to build and maintain data infrastructure that fuels analytics, reporting, and predictive modelling
Contact:
Steve.lam@menrvaconsulting.com
Purpose of the Role:
This role involves supporting end-to-end data workflows, including ingestion, processing, storage, and indexing, to enable effective reporting and scenario modeling on enterprise analytics platforms. The ideal candidate will be skilled in using open-source or commercial tools to build scalable and secure data solutions for both structured and unstructured data.
Key Responsibilities:
- Design, build, and maintain robust data pipelines for integrating and processing data from diverse sources and formats.
- Clean, prepare, and transform data for analytics, business intelligence, and data science use cases.
- Ensure comprehensive documentation of data processes and pipeline architecture.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Identify optimisation opportunities for scalability, repeatability, and security.
- Handle data system errors and contribute to testing configurations for improved efficiency.
Requirements:
- Proven experience in designing scalable ETL pipelines to support AI and data science initiatives.
- Strong proficiency in SQL, NoSQL, and Python for data preparation, transformation, and automation.
- Hands-on experience with data lake management and data pipeline development.
- Familiarity with cloud collaboration and development tools (e.g., Office 365, Atlassian, AWS, Azure).
Preferred Experience:
- Exposure to AWS services (e.g., S3, Athena, Lambda, IAM, CloudWatch).
- Domain knowledge in health informatics
- Experience supporting machine learning, clinical data projects, or hospital information systems.
- Familiarity with modern data engineering frameworks like Airflow, Docker, Kubernetes