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I applied via LinkedIn and was interviewed before May 2023. There were 3 interview rounds.
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To productinize Data Pipelines, one must automate, monitor, and scale the pipeline for efficient and reliable data processing.
Automate the data pipeline using tools like Apache Airflow or Kubernetes
Monitor the pipeline for errors, latency, and data quality issues using monitoring tools like Prometheus or Grafana
Scale the pipeline by optimizing code, using distributed computing frameworks like Spark, and leveraging clou...
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.
BigQuery uses a distributed architecture to process and analyze large datasets quickly.
It allows users to run SQL-like queries on datasets stored in Google Cloud Storage.
BigQuery automatically scales to handle large amounts of data and can be integrated with other Google Cloud services.
It supports real-time data...
Telco security involves protecting telecommunications networks and data from cyber threats. It includes protocols like SSL, IPSec, and VPN.
Telco security focuses on securing telecommunications networks and data from cyber attacks
Protocols like SSL (Secure Sockets Layer), IPSec (Internet Protocol Security), and VPN (Virtual Private Network) are commonly used in telco security
Encryption and authentication are key compone...
I applied via Naukri.com and was interviewed in Apr 2023. There were 2 interview rounds.
Find second max salary of employee by department in SQL
Use GROUP BY clause to group employees by department
Use MAX() function to find the maximum salary
Use subquery to find the second maximum salary
Find second max salary of employee by department using pandas dataframe
Group the dataframe by department
Sort the salaries in descending order
Select the second highest salary for each department
Python code to download file from aws s3 to local using boto3
Install boto3 library using pip
Create an S3 client using boto3
Use the download_file method to download the file from S3 to local
A program to count the number of words in a text file using PySpark.
Read the text file using SparkContext
Split the lines into words using flatMap
Map each word to a tuple of (word, 1)
Reduce by key to count the occurrences of each word
Save the output to a file
Interview experience
Area Sales Manager
54
salaries
| ₹3.5 L/yr - ₹9 L/yr |
Assistant Manager
45
salaries
| ₹3.1 L/yr - ₹8.5 L/yr |
Technical Support Executive
28
salaries
| ₹2 L/yr - ₹3.7 L/yr |
Assistant Sales Manager
23
salaries
| ₹4.3 L/yr - ₹9 L/yr |
Software Developer
20
salaries
| ₹4 L/yr - ₹7.5 L/yr |
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