2.Question 2In the data ecosystem, what are data engineers responsible for?

Data engineers are responsible for several key areas in the data ecosystem:

1. Data Architecture: They design, construct, install, test and maintain highly scalable data management systems.

2. Data Pipeline Construction: They build high-performance algorithms, prototypes, predictive models, and proof of concepts. This involves extracting, transforming, and loading data from a wide variety of data sources using SQL and big data technologies.

3. Data Cleaning: They ensure quality by designing data quality checks and coordinating with data science teams to ensure data is clean, accurate, and reliable.

4. Data Integration: They integrate new data management technologies and software engineering tools into existing structures.

5. Data Performance Optimization: They develop set processes for data mining, data modeling, and data production.

6. Data Security: They ensure systems meet business requirements and industry practices for data security.

7. Collaboration: They work closely with data scientists, data analysts, and other teams to increase functionality and efficiency.

In summary, data engineers are responsible for the creation and maintenance of the analytics infrastructure that enables almost every function in the data world. They develop, construct, test, and maintain architectures such as databases and large-scale data processing systems.