Address
Form of workThe Data Engineer Architecture & Platform Implementationwill:
- Design and implement an efficient and reliable data platform for ingestion, storage, management, and processing of data for AI purposes.
- Build and/or setup technical systems and infrastructure to ingest, store, manage and process large amounts of data.
- Design and implement digital solutions and services to provide data for AI purposes (pipelines)
- Maintain and further develop the data model and technical architecture over time.
- Ensure that data model and architecture are aligned with existing and future business needs.
The Data Engineer Architecture & Platform Implementationwill have:
- Good knowledge about principal application of AI.
- Software development and Data Engineering related education.
- Extensive knowledge of data ingestion, storage, processing, and pipelining.
- Excellent understanding of data pipelines and automation.
- Proven record of delivering complex Data Engineering projects.
- Excellent written communication skills for report writing & concerns raising. Able to verbally communicate at all levels.
If this sounds like a great opportunity for you, apply online now! Submit a copy of your up-to-date CV, and a member of our team will contact you to provide more details!
