ANZ Operations & Technology Data Engineer Interview Questions and Answers for Experienced

ETL pipeline on cloud involves extracting data from various sources, transforming it, and loading it into a cloud-based data warehouse.

• Use cloud-based ETL tools like AWS Glue, Google Cloud Dataflow, or Azure Data Factory to extract, transform, and load data.

• Design the pipeline to handle large volumes of data efficiently and securely.

• Utilize serverless computing and auto-scaling capabilities of cloud platforms to optimi...read more

Data modelling techniques involve creating a visual representation of data relationships and structures.

• Identifying entities and their relationships

• Creating entity-relationship diagrams

• Normalizing data to reduce redundancy

• Using tools like ERwin, Visio, or Lucidchart

• Implementing data models in databases

Data Warehouse implementation involves designing, building, and maintaining a centralized repository for storing and analyzing data.

• Designing the data warehouse schema to meet business requirements

• Extracting, transforming, and loading data from various sources into the warehouse

• Implementing data quality processes to ensure accuracy and consistency

• Creating data models and reports for analysis and decision-making

• Optimizi...read more