I applied online. I interviewed at ANZ (Wellington, Wellington) in Jun 2022
Interview
Interview with two interviewers, one on-site and one remote (Auckland based). The process is managed in professional manner, communication was very efficient (pre and post interviews). Very smooth experience.
They promptly contacted me 3 days after the interview for an offer, though the salary negotiation didn't go anywhere.
Interview questions [1]
Question 1
Tell me a time when you have had difficult relationship at work, and how did you overcome it?
I applied in-person. The process took 1 day. I interviewed at ANZ (Bengaluru) in Jul 2025
Interview
The best work culture someone could ever find , im glad I joined the company. Nor sure abt Australia, but NZ has best quality of work and employee loves to go to work. If you get offer from anz ,don't think twice.
I applied online. The process took 4 weeks. I interviewed at ANZ (Bengaluru) in Apr 2025
Interview
1. Application Screening
What happens: Your resume is reviewed by recruiters or automated systems (ATS).
Tip: Tailor your resume with keywords from the job description.
📌 2. Online Assessment / Aptitude Round
Format: MCQs or coding questions (via platforms like HackerRank, Codility, etc.).
Topics:
SQL queries
Python logic (data structures, file handling)
Basic data modeling
Logical reasoning / aptitude
📌 3. Technical Interview (1–2 Rounds)
Focus:
Core SQL and Python
Data pipeline concepts
Database design (e.g., normalization, indexing)
ETL/ELT concepts
Cloud basics (GCP, AWS optional for freshers)
Example Question: "Design a simple data pipeline to clean and store sales data."
📌 4. System Design (Optional for Freshers)
If included: Simplified scenario-based question like designing a mini data warehouse or streaming pipeline.
Expected: Logical thinking, table design, SCD types, data flow discussion.
📌 5. HR/Behavioral Interview
Topics:
Tell me about yourself.
Why data engineering?
Teamwork, problem-solving, and learning experiences.
Tip: Use the STAR method (Situation, Task, Action, Result) for structured answers.
📌 6. Final Round / Managerial Discussion (Optional)
Discussion: Work attitude, career goals, and potential growth.
Could include: Light technical questions + project or internship discussion.
Interview questions [1]
Question 1
1. SQL and Databases
2.Python for Data Engineering
3.Data Modeling and Warehousing
4.Version Control and CI/CD (Basic Awareness)