ANZ Operations & Technology Data Engineer Interview Questions and Answers

Q1. Data Engineering Concepts
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Q2. Build ETL pipeline on cloud
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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
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Q3. Writing sql queries to solve the logic
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Q4. Data Modelling techniques
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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
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Q5. Performance Optimisation
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Q6. Data Warehouse implementation
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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
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2 questions on hackerrank, easy to medium

Q1. Mostly behavioral , as I was a fresher And applied through college
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Q2. Few sql question for this role
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