# OBenner/data-engineering-interview-questions

More than 2000+ Data engineer interview questions.

Repository: https://github.com/OBenner/data-engineering-interview-questions
Canonical: https://ross.abutalabs.com/products/data-engineering-interview-questions
Language: Python
License Family: other
Topics: data-engineering, interview-questions, interview, hadoop, hadoop-hdfs, spark, flink, sql, kafka, hive, impala, airflow, aws, azure, cassandra, flume, hbase, avro, nifi, data-structures
Last push: 2026-01-13T16:51:05+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 62, release rhythm 35, longevity 100
- inputs: {"age_days": 1851, "days_push": 232, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1714, forks 561 (observed 2026-08-28T04:05:26.158725+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: tutorials, education, big-data
- platform: cross-platform
- tags: interview-preparation, data-engineering, spark, kafka, sql, airflow, hadoop, aws, azure, question-bank

## Member repositories
- OBenner/data-engineering-interview-questions (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:26.158725+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:34:37.801376+00:00, confidence not recorded.
  - readme: https://github.com/OBenner/data-engineering-interview-questions (fetched 2026-08-28T04:05:26.158725+00:00, sha 81f869c84468)
- Data as of 2026-08-30T08:39:29.467469+00:00.