We are representing our client (an established leading Hospital Group) looking for a Senior System Analyst to analyse data requirement in new system, perform data mapping from old system to new system, standardization, migration, testing as well as validation and verification.
Responsibilities:
- Define roadmap to transform data architecture focusing on scalability, performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption).
- Maintain data architecture framework, standards and principles including modelling, metadata, security, master and reference data.
- Define reference architecture as a set of patterns that can leveraged by diverse parts of the direction to create and improve data systems.
- Lead architectural designs solution context diagram and conceptual data model to optimize security, information leverage and reuse, integration, performance, and availability and ensure solutions developed adhere and aligns to the delivered architecture.
- Work with Data Migration Lead and Overseas Partner to influence application teams regarding solutions.
- Collaborate with internal IT and business teams to design and implement effective technology solutions, while using innovative business and technology processes to identify and implement improvement initiatives, eliminate redundancies, and maximize the reuse of data.
- Work closely with Solutioning, Infrastructure and project teams to understand their needs and ensure the best data architecture is implemented.
- Provide training and share best practices across teams regarding data architecture design and solution implementation including review and quality assurance.
- Develop and apply industry best practice technology, design and methodology approaches.
- Research and recommend new emerging technologies, techniques and tools that will add value to the organisation.
Requirements:
- Bachelor’s Degree in Computer Science or related discipline.
- Minimum 7 years of experience designing and building high performance resilient data architectures.
- Strong experience with traditional data technologies (ODS, Data Lake, Data Warehouse).
- Strong experience with Structured Query Language, Stored Procedures, Constraints and Indexes on both MS SQL and Oracle databases.
- Experience in designing data patterns to support micro-service based application architecture.
- Track record of successfully building container-based big data architectures on top of Kubernetes.
- Experience in designing systems to efficiently handle real-time and batch use-cases.
- Exposure and understanding in the latest open source technologies across the big data ecosystem, such as distributed storage, real-time event processing and large scale distributed OLAP engines.
- Exposure to Data as a Service concepts and data virtualization.
- Working knowledge of data science processes and best practices, with experience in building scalable architectures through the use of data science workflow orchestrators.
- Hands on experience on DevOps / DataOps / MLOps concepts. 12) Experience in 2 or more Healthcare systems like SCM, Cerner, SRIS or Merlin is preferred.
- Experience in HL7 standard messages and eLink are an added advantage.
- Ability to articulate thoughts and workflows clearly in both writing and speech is essential.
- Ability to work under tight schedule and independently is preferred