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ANZ Operations & Technology Data Engineer Interview Questions and Answers

Updated 4 Nov 2023

ANZ Operations & Technology Data Engineer Interview Experiences

2 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Oct 2023. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(6 Questions)

  • Q1. Data Engineering Concepts
  • Q2. Build ETL pipeline on cloud
  • Ans. 

    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...

  • Answered by AI
  • Q3. Writing sql queries to solve the logic
  • Q4. Data Modelling techniques
  • Ans. 

    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

  • Answered by AI
  • Q5. Performance Optimisation
  • Q6. Data Warehouse implementation
  • Ans. 

    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...

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 22 Oct 2022

I applied via Campus Placement and was interviewed in Sep 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Coding Test 

2 questions on hackerrank, easy to medium

Round 3 - HR 

(2 Questions)

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

Interview Preparation Tips

Interview preparation tips for other job seekers - Practice code on leetcode or hackerrank if you are applying through college

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Data Engineer Interview Questions & Answers

TresVista user image chaitanya gabhane

posted on 2 Oct 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Python basic codes
  • Q2. SQL query of aggregate function
  • Ans. 

    SQL query using aggregate functions to perform calculations on a dataset

    • Use aggregate functions like SUM, AVG, COUNT, MIN, MAX to perform calculations on a dataset

    • Group data using GROUP BY clause to apply aggregate functions on specific groups

    • Filter data using HAVING clause after applying aggregate functions

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Worst company

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Sep 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

Basic aptitude questions

Round 2 - Coding Test 

Data structure and algorithms

Round 3 - Technical 

(1 Question)

  • Q1. Java, SQL questions
Round 4 - HR 

(1 Question)

  • Q1. Casual talk about roles
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What is lazy evaluation in spark.
  • Ans. 

    Lazy evaluation in Spark delays the execution of transformations until an action is called.

    • Lazy evaluation allows Spark to optimize the execution plan by combining multiple transformations into a single stage.

    • Transformations are not executed immediately, but are stored as a directed acyclic graph (DAG) of operations.

    • Actions trigger the execution of the DAG and produce results.

    • Example: map() and filter() are transformat...

  • Answered by AI
  • Q2. What is mapreduce
  • Ans. 

    MapReduce is a programming model and processing technique for parallel and distributed computing.

    • MapReduce is used to process large datasets in parallel across a distributed cluster of computers.

    • It consists of two main functions - Map function for processing key/value pairs and Reduce function for aggregating the results.

    • Popularly used in big data processing frameworks like Hadoop for tasks like data sorting, searching...

  • Answered by AI
Round 2 - One-on-one 

(1 Question)

  • Q1. What is skewness and skewd tables
  • Ans. 

    Skewness is a measure of asymmetry in a distribution. Skewed tables are tables with imbalanced data distribution.

    • Skewness is a statistical measure that describes the asymmetry of the data distribution around the mean.

    • Positive skewness indicates a longer tail on the right side of the distribution, while negative skewness indicates a longer tail on the left side.

    • Skewed tables in data engineering refer to tables with imba...

  • Answered by AI
Round 3 - One-on-one 

(1 Question)

  • Q1. What is spark and explain working
  • Ans. 

    Spark is a distributed computing framework designed for big data processing.

    • Spark is built around the concept of Resilient Distributed Datasets (RDDs) which allow for fault-tolerant parallel processing of data.

    • It provides high-level APIs in Java, Scala, Python, and R for ease of use.

    • Spark can run on top of Hadoop, Mesos, Kubernetes, or in standalone mode.

    • It includes modules for SQL, streaming, machine learning, and gra...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for HSBC Group Data Engineer interview:
  • Big Data

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Explain error handling in PySpark
  • Ans. 

    Error handling in PySpark involves using try-except blocks and logging to handle exceptions and errors.

    • Use try-except blocks to catch and handle exceptions in PySpark code

    • Utilize logging to record errors and exceptions for debugging purposes

    • Consider using the .option('mode', 'PERMISSIVE') method to handle corrupt records in data processing

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Data Warehousing related questions
Round 3 - Behavioral 

(1 Question)

  • Q1. Data Modelling related questions

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Advanced sql on ctl
  • Q2. Python data structure

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview went well
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Why RDBMS over Non RDBMs
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via LinkedIn and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Coding questions on sql python and spark

Round 2 - Technical 

(2 Questions)

  • Q1. Hacker rank code pair
  • Ans. 

    Implement a function to pair elements of an array based on a given sum.

    • Iterate through the array and check if the current element plus any other element equals the given sum.

    • Use a hash set to store elements already visited to avoid duplicate pairs.

    • Return an array of arrays containing the pairs that sum up to the given value.

  • Answered by AI
  • Q2. Pyspark questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Money you want for this position
  • Q2. Why to choose this position and not another

ANZ Operations & Technology Interview FAQs

How many rounds are there in ANZ Operations & Technology Data Engineer interview?
ANZ Operations & Technology interview process usually has 2-3 rounds. The most common rounds in the ANZ Operations & Technology interview process are Resume Shortlist, Coding Test and HR.
What are the top questions asked in ANZ Operations & Technology Data Engineer interview?

Some of the top questions asked at the ANZ Operations & Technology Data Engineer interview -

  1. Build ETL pipeline on cl...read more
  2. Data Modelling techniq...read more
  3. Data Warehouse implementat...read more

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ANZ Operations & Technology Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
ANZ Operations & Technology Data Engineer Salary
based on 42 salaries
₹8.6 L/yr - ₹36 L/yr
94% more than the average Data Engineer Salary in India
View more details

ANZ Operations & Technology Data Engineer Reviews and Ratings

based on 5 reviews

4.7/5

Rating in categories

3.5

Skill development

4.7

Work-life balance

4.6

Salary

4.7

Job security

4.7

Company culture

4.1

Promotions

3.8

Work satisfaction

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