Join me share an in-depth look at a live interview experience for a Senior Data Engineer role in a product-based company! This video covers interview questions, solutions, and strategies for data engineers with 3-9 years of experience. I’ll walk through common interview topics like Spark, Python, and SQL, explaining the expectations for a senior role in a dynamic tech environment.
Whether you’re prepping for a career jump, looking to upskill, or curious about what to expect in a senior-level interview, this video will provide valuable insights. Tune in to learn more about handling technical challenges, showcasing your experience, and standing out in a competitive job market!
#dataengineering , #awsdataengineer , #azuredataengineer
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Senior Data Engineer Live Interview Experience | 3-9 Years | Spark, Python, SQL | Product-Based
an experienced Senior Data Engineer and informative Data Engineering mock interview session.
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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, ETL pipelines, data modelling, database technologies, cloud platforms, CI/CD 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.
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an experienced Senior Data Engineer and informative Data Engineering mock interview session.
Questions:
00:00 - File formats used in Databricks?
00:35 - language used for coding?
00:57 - Python Scripting
01:13 - Coding day to day life
02:04 - what is source volume of the data?
02:51 - what is incremental load ?
04:00 - difference between SCD type1 and type2
05:32 - what are the delta tables?
06:41 - which file format support
07:03 - Delta table Optimization
08:13 - scenario based question1
09:26 - how to load target data warehouse
10:36 - Tricky question on ADF
11:17 - confuse candidate questions
12:37 - how many tables load
13:17 - how to load 15 tables at once
14:05 - how to handle metadata of tables in adf
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