Skills to Master for Your Data Engineering Interviews

  • 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.