Real time Interview experience on Data Engineering | Azure, Databricks, ADF, SQL, Python.
๐ ๐ต๐ฎ๐๐ฒ ๐ฝ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฒ๐ฑ ๐๐ผ๐บ๐ฝ๐น๐ฒ๐๐ฒ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐๐๐ถ๐ฑ๐ฒ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ป๐ฒ๐ฟ๐. ๐๐ฒ๐ ๐๐ต๐ฒ ๐๐๐ถ๐ฑ๐ฒ ๐ต๐ฒ๐ฟ๐ฒ - https://lnkd.in/gJWSVKNM ๐๐ผ๐๐ฝ๐ผ๐ป ๐ฐ๐ผ๐ฑ๐ฒ - 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, SQL, 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 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 โจ Tags โจ 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. โจ Hashtags โจ #mockinterview #dataengineering #data #dataengineer #sql #python #pyspark #jobs #interview #bigdata #azure #cloud #gcp #aws #databricks #adf #azuredatafactory #synapse
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