Round 1 - Technical

This round focused on technical questions, including:

🔹 Explain Infrastructure as Code (IaC) in AWS.

🔹 How to create and deploy an AWS Lambda function using CLI? What is the runtime of Lambda?

🔹 What is Data Smoothing?

🔹 Explain the difference between `is` and `==` in Python.

🔹 How to delete duplicate elements from a list?

🔹 What is Docker?

🔹 Explain Spark Context and Streaming Context.

🔹 What are RDDs?

🔹 Difference between Map and Reduce.

🔹 Different types of joins in PySpark.

🔹 How are `startswith` and `endswith` methods used in Python?

🔹 What is the DAG Scheduler in PySpark?

🔹 Write a Python program that counts the number of times each character appears in a given string, considering both lowercase and uppercase characters.

Round 2 - Techno-Managerial

This was a techno-managerial round conducted by the Director of Engineering. The questions were complex and at a higher level, alongside project discussions. Some of the questions included:

🔹 Have you used EMR in your work or at least in portfolio projects?

🔹 What are Bootstrap actions in EMR?

🔹 Scenario-based AWS questions involving EC2, S3, Glue, EMR, Lambda, Redshift, and Athena.

🔹 Steps to create an Amazon EMR Cluster.

🔹 How to add arguments to Bootstrap actions in EMR?

🔹 How to make an EMR cluster resilient for large data processing and explain EMR fleets.

🔹 What is the purpose of AWS KMS?

🔹 What is the general usage of Elastic IP in AWS, and how do you restrict access to an S3 bucket to a specific EC2 instance?

🔹 The interviewer reviewed my LinkedIn and GitHub profiles to check my entire portfolio and certifications.

Round 3 - HR Discussion

🔹Team Culture Discussion.

🔹Leaves and Holiday policies.

🔹Salary Negotiation.

🔹Variable component discussion.

After the final HR discussion, I received the offer.😊