Analytics Engineer

1. Data governance

1.1. Maintain and define policy for data privacy and data retention

1.2. Define policy for data consumption

2. Data management

2.1. Data assets management

2.2. Data models management

2.3. Data consumption management

3. Data Modeling

3.1. Have ability to explain nature and ideas of data zones

3.2. Understanding of fundamental data concepts, be able to explain and use them

3.3. Data abstraction level: concept, logic, physic

4. Development

4.1. Etablish and maintain DBT development process. Fluently in DBT models development

4.2. Be able to hand on data serving solution (streamlit, API expose)

5. Data serving

5.1. Have capability to evaluate, curate and assess business requirements

5.2. Have ability to coordinate and connect different data people (DE, DA, ML) and stakeholders to support data consumption

5.3. Have ability to build data solution flow and identify which data should be used to serve requirements

5.4. Understanding principals of data serving: isolation, latency, domain oriented, push-pull mechanism, privacy,...

5.5. Present and democratize data assets to end users