Data engineering
Data engineering involves ensuring the correct systems are available to enable the collection, analysis and extrapolation of data.
수준
- 1. 인지
You can:
- explain why you need engineering support to design and provide products for the organisation
- explain why you need to cleanse and prepare data for use in data science products
- explain different architectures, including cloud and on-premise, and data manipulation and transformation tools
- 2. 실무
You can:
- identify the appropriate engineering support to design and provide products for the organisation
- recognise the processes and tools for cleansing and preparing data, and put reusable processes and checks in place
- use different architectures, including cloud and on-premise
- use data manipulation and transformation tools
- 3. 실천가
You can:
- work with data engineers and data scientists to design and provide products for the organisation
- 4. 전문가
You can:
- help to identify the data engineering requirements for any data science product, while working with data engineers and data scientists to design and deliver those products into the organisation effectively
- understand the need to cleanse and prepare data before including it in data science products and can put reusable processes and checks in place
- understand a broad range of architectures, including cloud and on-premise, and data manipulation and transformation tools deployed within the organisation, and can use these tools appropriately and help others use them
Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.
가장 가까운 ESCO 스킬
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.
이 스킬을 기대하는 역할 수준
| 역할 수준 | 역할 | 밴드 | 기대 수준 |
|---|---|---|---|
| 트레이니 데이터 사이언티스트 | 데이터 사이언티스트 | 4 | 인지 |
| 어소시에이트 데이터 사이언티스트 | 데이터 사이언티스트 | 5 | 실무 |
| 데이터 사이언티스트 | 데이터 사이언티스트 | 6 | 실천가 |
| 프린시펄 데이터 사이언티스트 | 데이터 사이언티스트 | 7 | 전문가 |
| 리드 데이터 사이언티스트 | 데이터 사이언티스트 | 8a | 전문가 |
| 데이터 사이언스 책임자 | 데이터 사이언티스트 | 8b | 실천가 |