Live Mock Interview for Data Engineer | AWS, Project, Spark.

𝗜 𝗵𝗮𝘃𝗲 𝗽𝗿𝗲𝗽𝗮𝗿𝗲𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗻𝗲𝗿𝘀. 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗚𝘂𝗶𝗱𝗲 𝗵𝗲𝗿𝗲 - https://lnkd.in/gJWSVKNM 𝗖𝗼𝘂𝗽𝗼𝗻 𝗰𝗼𝗱𝗲 - AZURE20 / AWS20 / GCP20 to get discounts for next 10 users. In this video, experience a full-length Data Engineer Mock Interview based on real-world scenarios and commonly asked questions. Perfect for those preparing for Data Engineering interview, this video covers pyspark, databricks,azure data factory, azure synapse, slowly changing dimensions, Python cloud skills expected in actual interviews. Connect with me: Instagram: instagram.com/shubhaam.codes LinkedIn: https://www.linkedin.com/in/shubhamwadekar/ Data Engineers - Interview Prep : https://linktr.ee/shubham_wadekar1 Whatsapp community: https://whatsapp.com/channel/0029VanKrG4DOQId4uezM11k CHAPTERS: 00:00 Introduction of me. 00:22 Roles and responsibilities 03:10 Components involved in the pipeline and project explanation. 11:32 Lazy evaluation in spark 13:30 Scenario based question - spark 14:35 Cache and persist in spark 16:20 Skewness in spark 17:30 Designing the ETL pipeline (end to end) 22:30 Schema evaluation 24:15 Data types and file formats 25:00 Row vs columnar storage. 26:45 Coding question (break the data into date, hour, min and day of the week) feedback 45:35 Live Feedback ✨ Tags ✨ Mock Data Engineer Interview, Data Engineer Interview Questions, Data Engineering Mock Interview, Data Engineer Interview Preparation, Azure Data Engineer Interview, Cloud Data Engineering, ETL Interview Questions, SQL Interview for Data Engineer, PySpark Interview Questions, Big Data Interview Mock, Real Interview Data Engineer, Data Engineer Scenario Based Questions, Data Engineer Technical Interview, Mock Interview Full Length, Azure Data Engineer Mock, Data Engineering Projects, Data Engineer Career Switch, Entry Level Data Engineer, Data Engineering Roadmap, Databricks interview questions, data factory questions. ✨ Hashtags ✨ #mockinterview #dataengineering #data #dataengineer #sql #python #pyspark #jobs #interview #bigdata #azure #cloud #gcp #aws #databricks #adf #azuredatafactory #synapse