Data development process
Data development process involves implementing data pipelines, products, services or platforms while ensuring they are secure, scalable, sustainable, reliable and meeting required standards.
수준
- 1. 인지
You can:
- monitor the operation of data solutions such as data pipelines and services
- identify and fix simple issues in data solutions
- 2. 실무
You can:
- implement simple data solutions such as data pipelines, following established approaches and standards
- create repeatable, reliable and reusable data solutions
- 3. 실천가
You can:
- lead the implementation of complex or large-scale data solutions
- apply appropriate technology and techniques to ensure data solutions are secure and scalable
- identify and implement continuous improvement to the operation and performance of data solutions
- 4. 전문가
You can:
- establish cross-organisational data solutions that include all aspects of the data development life cycle
- define and promote good practices for creating repeatable, reliable and reusable data solutions
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
- establish data processes
- develop data processing applications
- data extraction, transformation and loading tools
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 |
|---|---|---|---|
| 데이터 엔지니어 | 데이터 엔지니어 | 6 | 실무 |
| 시니어 데이터 엔지니어 | 데이터 엔지니어 | 7 | 실천가 |
| 리드 데이터 엔지니어 | 데이터 엔지니어 | 8a | 전문가 |
| 데이터 엔지니어링 책임자 | 데이터 엔지니어 | 8b | 전문가 |