AWS Data Engineering Interview
23.6 هزار بار بازدید -
5 ماه پیش
-
#aws Data
#aws Data Engineering Mock Interview - First Round
Join Nisha Bansal, an experienced Data Engineering professional with over 5 years of experience, and Aastha 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 scenario and provides valuable insights and guidance. The topics covered include discussion on SQL vs NoSQL, Git Practices, Deployment methodology in the Data Engineering etc.
It covered questions from Apache Spark, SQL, Airflow, File Formats, AWS technology like SQS, SNS, Step Functions, Lambda Functions, AWS Glue, #aws Athena, EMR clusters, 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 suits all levels of experience, whether you're a fresh graduate, a career changer, or a seasoned professional looking to improve 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 Nisha & Aastha.
🔅 To book a Mock interview - https://topmate.io/ankur_ranjan/15155
🔅 LinkedIn - LinkedIn: thebigdatashow
🔅 Instagram - Instagram: ranjan_anku
🔅 Ankur(Organiser) 's LinkedIn profile - LinkedIn: thebigdatashow
🔅 Nisha(Interviewer) 's LinkedIn profile -
LinkedIn: engineer-nisha
🔅 Aastha (Interviewee)'s LinkedIn profile - LinkedIn: aastha-jain-851ab3140
Chapters:
00:00 - Introduction & Project Understanding
04:21 - Scenario-based question
06:32 - Reconciliation Process
10:41 - Why has AWS decided to have a global namespace even though we can specify the region in the S3 bucket?
11:15 - How can you secure the S3 bucket?
12:10 - How do we design a pipeline so that we can secure PII information?
14:38 - Transforming raw to transform layer
16:06 - How to manage schema evaluation as a part of a pipeline?
18:34 - How do we decide which instances to choose for the use case?
19:53 - What are the use cases for using EMR serverless over glue?
21:56 - Design a pipeline in such a way that whenever there is a schema change one can get notified through glue service.
23:36 - DynamoDB vs Elastic Search
26:53 - Database sharding vs partitioning
27:55 - What is a secondary index in DynamoDB?
28:14 - System Design question
35:21 - Implement sequential lambda execution such that after one lambda another lambda starts executing so that we can avoid 15-minute exhaustion.
37:00 - Does Athena detect the partition automatically or does it need some command?
38:25 - SQL question
52:48 - Interviewee feedback
#dataengineering #interview #interviewquestions #bigdata #mockinterview
Join Nisha Bansal, an experienced Data Engineering professional with over 5 years of experience, and Aastha 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 scenario and provides valuable insights and guidance. The topics covered include discussion on SQL vs NoSQL, Git Practices, Deployment methodology in the Data Engineering etc.
It covered questions from Apache Spark, SQL, Airflow, File Formats, AWS technology like SQS, SNS, Step Functions, Lambda Functions, AWS Glue, #aws Athena, EMR clusters, 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 suits all levels of experience, whether you're a fresh graduate, a career changer, or a seasoned professional looking to improve 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 Nisha & Aastha.
🔅 To book a Mock interview - https://topmate.io/ankur_ranjan/15155
🔅 LinkedIn - LinkedIn: thebigdatashow
🔅 Instagram - Instagram: ranjan_anku
🔅 Ankur(Organiser) 's LinkedIn profile - LinkedIn: thebigdatashow
🔅 Nisha(Interviewer) 's LinkedIn profile -
LinkedIn: engineer-nisha
🔅 Aastha (Interviewee)'s LinkedIn profile - LinkedIn: aastha-jain-851ab3140
Chapters:
00:00 - Introduction & Project Understanding
04:21 - Scenario-based question
06:32 - Reconciliation Process
10:41 - Why has AWS decided to have a global namespace even though we can specify the region in the S3 bucket?
11:15 - How can you secure the S3 bucket?
12:10 - How do we design a pipeline so that we can secure PII information?
14:38 - Transforming raw to transform layer
16:06 - How to manage schema evaluation as a part of a pipeline?
18:34 - How do we decide which instances to choose for the use case?
19:53 - What are the use cases for using EMR serverless over glue?
21:56 - Design a pipeline in such a way that whenever there is a schema change one can get notified through glue service.
23:36 - DynamoDB vs Elastic Search
26:53 - Database sharding vs partitioning
27:55 - What is a secondary index in DynamoDB?
28:14 - System Design question
35:21 - Implement sequential lambda execution such that after one lambda another lambda starts executing so that we can avoid 15-minute exhaustion.
37:00 - Does Athena detect the partition automatically or does it need some command?
38:25 - SQL question
52:48 - Interviewee feedback
#dataengineering #interview #interviewquestions #bigdata #mockinterview
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