Found Description
Responsibilities
- Design, build, and improve critical batch and near‑real‑time data pipelines that support enterprise analytics and operational use cases.
- Develop reusable engineering patterns for ingestion, transformation, storage, and serving layers across the platform.
- Own important platform components and ensure they are reliable, scalable, and supportable in production.
- Contribute directly to the modernisation of legacy data workflows into stronger platform‑aligned solutions.
Lakehouse Architecture & Scalable Processing
- Contribute to the design and evolution of the enterprise data lake or lakehouse platform.
- Implement and refine engineering standards for storage layout, transformation patterns, and data processing frameworks.
- Optimise partitioning, schema evolution, and file organisation to improve performance and maintainability.
- Build and support distributed data proc...