-
SQL:
SQL is a must-have skill for every data engineering interview. In most cases, the interviewer will provide you an ERD and instruct you to build queries to address basic question. -
Python:
Python is the most commonly used programming language for creating data engineering pipelines. -
Modeling of data:
Data modelling ideas will be tested on (e.g. star schema, facts, and dimensions). -
Pipelines for data:
Typically, data engineering interviews include a question on data pipeline design. When creating the data pipeline, you will be questioned about testing, backfilling, scalability, dealing with bad data, resolving dependencies, and so on. -
Streaming of events:
Learn about event streams, why they exist, and when to use them. -
Fundamentals of distributed systems:
Depending on the work, you may be asked about the fundamentals of distributed systems. It’s a good idea to educate yourself on how distributed systems work. -
System development:
This is a common question in most software professions. You will be questioned about developing data pipelines specifically for a data engineering position, where you will have to understand the source system.