Job Description
(a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.
(g) Monitor compliance of cloud resources to see if they fit industry guardrails and best
practices.
(h) Help other development and engineering teams resolve application to platform
integration issues for Platform as a Service (PaaS) and Infrastructure as a Service
(IaaS) services.
(i) Research and propose solutions for AWS data transformation, data connections,
operational frameworks, and application integration.
(j) Work closely with lead architects and engineers to create and maintain architectural
templates and build/operational documents.
(k) Work with DevOps and engineering teams to develop service catalogues.
(l) Assist in vendor management to ensure contracted vendors deliver solutions that is
architecturally sustainable and scalable.
Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.
(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.
Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."
Next Step:
- Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
- Simply click on 'Apply here' to drop your resume or email at [email protected]
- All shortlisted candidates will be contacted.
Saghana Sithara | Registration Number: R1550224