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OBenner/data-engineering-interview-questions resource

More than 2000+ Data engineer interview questions. observed · 2026-08-28

github.com/OBenner/data-engineering-interview-questions · Python observed · 2026-08-28

Health v2 · maintenance only

60/100

  • Activity 62
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1851
  • days_rel: n/a
  • days_push: 232
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1714 stars · 561 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of over 2000 interview questions for data engineering roles, organized by technology such as Spark, Kafka, SQL, Airflow, Hadoop, and cloud platforms. It serves as a study and practice resource rather than runnable software.

Use cases

  • prepare for a data engineer interview
  • practice data engineering interview questions
  • study spark and kafka concepts before an interview
  • review sql and data warehouse questions
  • brush up on airflow and pipeline concepts
  • find data engineering study material by topic

When to choose

  • you are preparing for a data engineering job interview
  • you want a large topic-organized question bank covering the big data ecosystem
  • you want a free study checklist to practice end-to-end

When to avoid

  • you need runnable code, tools, or libraries
  • you want structured courses or hands-on exercises rather than question lists
  • you need licensed or formally maintained educational material

Facets

learning-resource · maturity active

documentation developer-tools tutorials education big-data cross-platform interview-preparation data-engineering spark kafka sql airflow hadoop aws azure question-bank

1 source

Member repositories

RepositoryRoleHealth v2
OBenner/data-engineering-interview-questionsmain60

For agents

markdown · JSON · MCP: product_card(name="OBenner/data-engineering-interview-questions")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem