Job Description

Category:Professionals
Location:Singapore

Function:Corporate
Date Posted:Jun 15, 2022


About the role:
Raffles Medical Group (RMG) is a leading integrated regional healthcare provider, listed on the Singapore Stock Exchange (SGX:BSL). Our regional presence spans 14 cities with medical facilities in Singapore, China, Japan, Vietnam and Cambodia.


At RMG, you’ll be part of a team who is focused on delivering high quality healthcare experiences to our broad spectrum of clients. We strive for an environment where we inspire one another, encourage you to achieve your best, and importantly, share success together. We create opportunities to develop your skills and chart your career with us.


We are looking for a Data Engineer to build data infrastructure to power the insights needed for evidence-based decision-making and enhance service-delivery. You will be architecting, designing and building next-generation data infrastructure to drive digital transformation in the heath sector.
Key Responsibilities

• Design and build resilient and efficient data pipelines for both batch and real-time streaming data

• Architect and design data infrastructure on cloud using industry standard Infrastructure-as-Code tools

• Execute projects with an Agile mindset

• Build software frameworks to solve data problems at scale

• Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools

• Obsess over cyber security by identifying threat & risk, ensuring all the components, from a platform, frameworks to the applications are fully secure and are compliant to infosec policies

• Develop metrics to measure and monitor client and server API health and utilization

Required Skills & Qualifications
§ Degree in Computer Science or have equivalent professional experience § At least 3 years of relevant experience in developing scalable, secured, fault tolerant, resilient & mission-critical data platforms § Experience with data processing tools such as Spark, Beam, Flink, Airflow, Kafka, dbt § Experience with the cloud (e.g. AWS, GCP, Azure) § Experience implementing batch and streaming data pipelines § Experience writing efficient SQL § Proficiency in at least one of the programming languages Java, Scala, or Python along with a fair understanding of runtime complexities. § In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting § In-depth knowledge of data modelling, data warehouse, and data lake § Familiar with DevOps tools such as Git, Docker, Terraform § Familiar with MLOps tools such as MLFlow, Kubeflow
§ Passionate about working in healthcare and raising the bar on healthcare solutions in Singapore and the region We regret that only shortlisted candidates will be notified.