https://github.com/OBenner/data-engineering-interview-questions

More than 2000+ Data engineer interview questions.
https://github.com/OBenner/data-engineering-interview-questions

airflow avro aws azure cassandra data-engineering data-structures flink flume hadoop hadoop-hdfs hbase hive impala interview interview-questions kafka nifi spark sql

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More than 2000+ Data engineer interview questions.

• Host: GitHub
• URL: https://github.com/OBenner/data-engineering-interview-questions
• Owner: OBenner
• Created: 2021-08-08T15:49:45.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2024-08-13T18:02:20.000Z (4 months ago)
• Last Synced: 2024-10-29T15:20:55.133Z (about 1 month ago)
• Topics: airflow, avro, aws, azure, cassandra, data-engineering, data-structures, flink, flume, hadoop, hadoop-hdfs, hbase, hive, impala, interview, interview-questions, kafka, nifi, spark, sql
• Homepage:
• Size: 1.02 MB
• Stars: 1,125
• Watchers: 21
• Forks: 404
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
More than 2000+ questions for preparing a Data Engineer interview.

Full list of questions

Interview questions for Data Engineer



  

  

    Databases and Data Warehouses

  

    

    GitHub Repo

    Official page

    Questions

    Description

    Useful links

  

  

    

    

    Apache Cassandra

    Cassandra is a distributed, wide-column store, NoSQL database management system.

    Awesome Cassandra

  

  

    

    

    Greenplum

    Greenplum is a big data technology based on MPP architecture and the Postgres open source database technology.

    Awesome Greenplum

  

  

    

    

    MongoDB

    MongoDB is a document-oriented database.

    Awesome MongoDB

  

  

    

    

    Apache Hbase

    HBase is an open-source non-relational distributed database.

    Awesome HBase

  

  

    

    

    Apache Hive

    Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis.

    Awesome Hive

  

  

    

    Amazon DynamoDB

    Amazon DynamoDB is a fully managed proprietary NoSQL database service.

    Awesome DynamoDB

        Awesome AWS

  

  

    

    Amazon Redshift

    Amazon Redshift is a data warehouse product.

    Amazon Redshift Utilities

        Awesome AWS

  

  

    

    BigQuery GCP

    BigQuery is a fully-managed, serverless data warehouse.

    Awesome BigQuery

  

  

    

    Bigtable GCP

    Bigtable is a fully managed wide-column and key-value NoSQL database service.

    Awesome Bigtable

  

  

  

    Data Formats

  

  

    

    

    Apache Avro

    Avro is a row-oriented remote procedure call and data serialization framework.

    Awesome Avro

  

  

    

    

    Apache Parquet

    Apache Parquet is a column-oriented data file format designed for efficient data storage and retrieval.

    TODO

  

  

    

    

    Delta

    Delta Lake is a storage framework that enables building a Lakehouse architecture with compute engines

    Delta examples

  

 

  

    Big Data Frameworks

  

  

    

    

    Apache Airflow

    Apache Airflow is a workflow management platform for data engineering pipelines.

    Awesome Airflow

  

  

    

    

    Apache Flume

    Apache Flume is a distributed, reliable, and available software for efficiently collecting, aggregating, and moving large amounts of log data.

    TODO

  

  

    

    

    Apache Hadoop

    Apache Hadoop is a collection of software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation.

    Awesome Hadoop

  

  

    

    

    Apache Impala

    Apache Impala is a parallel processing SQL query engine for data stored in a computer cluster running Apache Hadoop.

    TODO

  

  

    

    

    Apache Kafka

    Apache Kafka is a distributed event store and stream-processing platform.

    Awesome Kafka

  

    

    

    

    Apache NiFi

    Apache NiFi is a software project designed to automate the flow of data between software systems.

    Awesome NiFi

  

    

    

    

    Apache Spark

    Apache Spark is unified analytics engine for large-scale data processing.

    Awesome Spark

  

    

    

    

    Apache Flink

    Apache Flink is unified stream-processing and batch-processing framework.

    Awesome Flink

  

    

    

    

    Kubernetes

      Kubernetes is a system for managing containerized applications across multiple hosts.

    Awesome Kubernetes

  



  

    Cloud providers

  

    

    

    

    Amazon Web Services

    Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions.

    Awesome AWS

  

    

    

    

    Microsoft Azure

    Microsoft Azure is Microsoft's public cloud computing platform.

    Awesome Azure

  

    

    

    

    Google Cloud Platform

    Google Cloud Platform is a suite of cloud computing services.

    Awesome GCP

  



  

    Theory

  

    

    

    DWH Architectures

    A data warehouse architecture is a method of defining the overall architecture of data communication processing and presentation that exist for end-clients computing within the enterprise.

    Awesome databases

  

    

    

    Data Structures

    A data structure is a specialized format for organizing, processing, retrieving and storing data. 

    TODO

  

    

    

    SQL

    SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS).

    Awesome SQL

  



  

    Data visualization tools/BI

  

    

    

    Tableau

    Tableau is a powerful data visualization tool used in the Business Intelligence.

    TODO

  

    

    Looker

    Looker is an enterprise platform for BI, data applications, and embedded analytics that helps you explore and share insights in real time.

    TODO

  

 

    

    

    Apache Superset

    Superset is a modern data exploration and data visualization platform

    TODO

  





 Contribution 

Please contribute to this repository to help it make better. Any change like new question, code improvement, doc improvement etc is very welcome.