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I applied via LinkedIn and was interviewed in Jul 2022. There were 2 interview rounds.
First round is basically on python multiple choice questions and then it was asking 6 python easy-moderate question(Don't worry it's not like DSA) then 6 SQL questions which is kind of midium level questions.
An empty class can be created in Python using the 'pass' keyword.
Use the 'class' keyword to define a class.
Add the class name and a colon after the 'class' keyword.
Use the 'pass' keyword to indicate an empty class body.
I applied via Campus Placement and was interviewed before May 2023. There were 3 interview rounds.
2 SQL questions with some dsa and python mqs.
Use SQL queries with GROUP BY and HAVING clause to find duplicate values in a table.
Use GROUP BY clause to group the records based on the columns you want to check for duplicates.
Use HAVING clause to filter out the groups that have more than one record, indicating duplicates.
Example: SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name HAVING COUNT(*) > 1;
Use SQL query with subquery to find second highest salary
Use ORDER BY clause to sort salaries in descending order
Use LIMIT clause to get the second row after skipping the first row
Use a subquery to avoid duplicates if multiple employees have the same highest salary
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I applied via Campus Placement and was interviewed before Aug 2021. There were 2 interview rounds.
They try to test if you can think on the spot and bring in a difference although in the job if you are creative managers will shut you down. So i don't see the feasibility of this point
I applied via Naukri.com and was interviewed in Jun 2021. There were 4 interview rounds.
Object-oriented programming (OOP) knowledge is an advantage but not necessary for a data engineer.
OOP concepts like inheritance, encapsulation, and polymorphism can be useful in designing data models.
OOP languages like Java and Python are commonly used in data engineering.
Understanding OOP can help with debugging and maintaining code.
However, OOP is not a requirement for data engineering and other programming paradigms...
I applied via Company Website and was interviewed before Aug 2023. There was 1 interview round.
Daily based senarios
Building a data pipeline involves extracting, transforming, and loading data from various sources to a destination for analysis.
Identify data sources and determine the data to be collected
Extract data from sources using tools like Apache NiFi or Apache Kafka
Transform data using tools like Apache Spark or Python scripts
Load data into a destination such as a data warehouse or database
Schedule and automate the pipeline fo...
I applied via Campus Placement and was interviewed before Nov 2023. There were 3 interview rounds.
Logical qns totally-easy to moderate
Coding in tech tools as interviewed
I have experience using a variety of tech tools including Microsoft Office Suite, Google Analytics, and Salesforce.
Microsoft Office Suite (Word, Excel, PowerPoint)
Google Analytics for data analysis
Salesforce for CRM management
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
based on 2 interview experiences
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