Real time Interview experience on Data Engineering | Azure, Databricks, ADF, SQL, Python.

I have prepared in Depth Data Engineering Interview Experiences for 100+ Companies. Get the Experiences Here - https://topmate.io/shubham_wadekar/14... Use Code DATA10 to get 10% discount. 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, SQL, Python, cloud skills expected in actual interviews. 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗪𝗵𝗮𝘁𝘀𝗮𝗽𝗽 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗼𝗳 𝟯𝟬𝗞+ 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 - https://whatsapp.com/channel/0029VanKrG4DOQId4uezM11k Connect with me: Instagram: https://www.instagram.com/shubham_wadekar_ LinkedIn: https://www.linkedin.com/in/shubhamwadekar Interview Preparation: https://topmate.io/shubham_wadekar CHAPTERS: 00:00 Introduction of me. 00:22 Introduction of the candidate 01:45 Challenges faced in Databricks 02:55 Azure Synapse overview 04:05 Why use Azure Synapse as a data warehouse? 04:54 How to transfer data from on-premises to Azure Synapse 06:23 How did you use Python and SQL in your project? 08:16 CTE vs Subqueries in SQL 09:26 How do you optimize SQL queries? 11:08 How are AI applications used in your project? 13:20 Where are you creating Python packages? 14:05 Spark architecture explained 14:53 How to optimize a Spark job 15:20 Difference between repartition() and coalesce() in Spark 16:00 Services used in your data engineering project 16:57 Fetching data from the Gold layer: which Python API or framework would you use? 19:00 SQL Question: Find the third highest salary 21:40 Python Task: Count the number of words in a string 22:45 Python Task: Reverse a string 24:48 SCD (Slowly Changing Dimensions) and Schema Evolution 26:50 Scenario-Based Question 1 (Azure) 27:50 Scenario-Based Question 2 (Azure) 28:40 Difference between Microsoft Fabric and other data engineering services 29:42 Scenario-Based Question 3 (Azure) 30:56 Caching in Spark 31:40 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