Design, build, and maintain scalable data pipelines, integrations, and reusable data services that enable enterprise AI, analytics, and data initiatives.
- Design, develop, test, and maintain ETL/ELT pipelines and data integration solutions across enterprise data sources.
- Build reusable data pipelines, services, and integration components that can support multiple AI and analytics use cases.
- Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
- Implement data architecture, modelling, and integration patterns established by enterprise architecture.
- Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
- Degree in Computer Science, Information Systems, Engineering, Data/Analytics, or a related discipline
- Nice to have: Public Sector Experience
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