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Blackbuck Insights
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Python , dictionary operations
I applied via Indeed and was interviewed before Oct 2022. There were 3 interview rounds.
Easy questions, nothing difficult
I applied via Naukri.com and was interviewed in Jul 2021. There were 3 interview rounds.
Blackbuck Insights interview questions for designations
I applied via Naukri.com and was interviewed in Nov 2020. There were 4 interview rounds.
Top trending discussions
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
To create a pipeline in Databricks, you can use Databricks Jobs or Apache Airflow for orchestration.
Use Databricks Jobs to create a pipeline by scheduling notebooks or Spark jobs.
Utilize Apache Airflow for more complex pipeline orchestration with dependencies and monitoring.
Leverage Databricks Delta for managing data pipelines with ACID transactions and versioning.
3 SQL and 2 Python questions were asked, SQL was moderate, Python was tough
posted on 29 May 2024
I applied via Campus Placement and was interviewed in Apr 2024. There were 2 interview rounds.
It was a written test where theoretical SQL questions were asked like primary key, foreign key, set operators and some queries
Developed ETL pipeline to ingest, clean, and analyze customer data for personalized marketing campaigns
Gathered requirements from stakeholders to understand data sources and business objectives
Designed data model to store customer information and campaign performance metrics
Implemented ETL process using Python and Apache Spark to extract, transform, and load data
Performed data quality checks and created visualizations ...
I have used various transformations such as filtering, joining, aggregating, and pivoting in my data engineering projects.
Filtering data based on certain conditions
Joining multiple datasets together
Aggregating data to summarize information
Pivoting data from rows to columns or vice versa
I applied via Walk-in and was interviewed in Sep 2023. There were 2 interview rounds.
Ranking code in SQL
Use the RANK() function to assign a rank to each row based on a specified column
Use the ORDER BY clause to determine the order of ranking
Handle ties in ranking using the DENSE_RANK() function
Use the ROW_NUMBER() function to assign a unique number to each row
To read a file using Python, use the open() function and specify the file path and mode.
Use the open() function to open the file
Specify the file path and mode (e.g., 'r' for reading)
Read the contents of the file using the read() method
Close the file using the close() method
Reverses an array of strings using Python.
Use the reverse() method to reverse the array in-place.
Alternatively, use slicing with a step of -1 to create a new reversed array.
Remember to convert the array to a list before reversing if necessary.
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