Big Data Mock Interview | Data Engineering Interview | First Round of Interview

Data Engineering Mock Interview Join PadmaPriya Uppala, an experienced Data Engineering professional with over 6 years of experience, and Amrita a Senior Data Engineer for an exciting and informative Data Engineering mock interview session. If you're preparing for a Data Engineering interview, this is the perfect opportunity to enhance your skills and increase your chances of success. The mock interview simulates a real-life interview scenario and provides valuable insights and guidance. The topics covered include #apachespark SQL, File Formats, ETL pipelines, data modelling, database technologies, cloud platforms, and more. You'll get to see how professionals tackle technical questions and problem-solving challenges in a structured and efficient manner. By watching this mock interview, you'll learn effective strategies to approach technical questions and problem-solving scenarios, gain familiarity with the data engineering interview process and format, enhance your communication skills and ability to articulate your thoughts clearly, identify areas of improvement, receive expert feedback on your performance, boost your confidence, and reduce nervousness for future interviews. This mock interview is suitable for all levels of experience, whether you're a fresh graduate, a career changer, or a seasoned professional looking to brush up on your interview skills. Don't miss out on this invaluable learning experience! Subscribe to our channel and hit the notification bell to be notified when the mock interview is released. Stay tuned for a deep dive into the world of data engineering. Subscribe now and be the first to watch the Data Engineering Mock Interview with PadmaPriya & Amrita. 🔅 To book a Mock interview - https://topmate.io/ankur_ranjan/15155 🔅 LinkedIn - https://www.linkedin.com/in/thebigdatashow/ 🔅 Instagram - https://www.instagram.com/ranjan_anku/ 🔅 PadmaPriya Uppala(Interviewer) 's LinkedIn profile - https://www.linkedin.com/in/padmapriya-uppala/ 🔅 Amrita (Interviewee)'s LinkedIn profile - Chapters: 00:00 - Introduction 05:10 - Role in the project 06:22 - Handling streaming job failure 07:52 - Handling the Lost data in a real time project 08:24 - What is the watermark in Spark Structure Streaming? In which scenario one should use a watermark? 10:16 - Difference between event time & processing time 10:41 - Kind of transformation used in the project 12:40 - Spark Scenario Based Question 16:48 - Reason behind choosing Avro File format over other 17:18 - Reason behind choosing Iceberg 18:00 - Architecture of Iceberg 19:00 - Difference between RDD, DataFrame & DataSet. And do we need to choose which? 20:30 - Spark Optimization Technique 22:35 - What is DAG in Airflow? What is a job, Stage & task in Apache Spark? 24:45 - At what scenario we should choose Kafka? 26:37 - SQL Questions 40:31 - DSA Question 50:45 - Interviewee Feedback #dataengineering #interview #interviewquestions #bigdata #mockinterview #siliconvalley #kafka #pyspark #sql #systemdesign #apachespark #aws #azuredatafactory