ACT Fibernet Data Engineer Interview Questions and Answers

Python and SQL Questions (Easy to Medium)

Q1. Project Work Discussion
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Q2. SQL Coding (Can be with an online compiler)
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Q3. Python Coding (Can be with an online compiler)
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Q4. PySpark Coding (All the coding answers have to be submitted to the interviewer)
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Q5. PySpark Joins, and Databricks, and Vanilla Spark difference
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Q1. SQL 2 Questions (Easy to Medium) (Maybe on the compiler)
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Q2. Python (Easy) (Maybe on compiler)
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Q3. Scenario-based questions on the project
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Q1. Sql question related to windows function
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Q2. Unix basics - find a word in a set of files
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Using Unix command 'grep' to find a word in a set of files
• Use 'grep' command followed by the word you want to search for and the file(s) you want to search in

• Add the '-r' flag to search recursively in all files in a directory

• Use '-i' flag for case-insensitive search

• Example: grep 'hello' file.txt

• Example: grep -r 'error' /path/to/directory

• Example: grep -i 'apple' file1.txt file2.txt
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Q3. Python question related to file system, regex
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Q1. What is the difference between start schema and snowflake schema
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Star schema is a denormalized schema with a single fact table and multiple dimension tables, while snowflake schema is a normalized schema with multiple dimension tables normalized into sub-dimension tables.
• Star schema has a single fact table surrounded by multiple dimension tables, while snowflake schema has dimension tables normalized into sub-dimension tables.

• In star schema, dimensions are denormalized, while in sno...read more
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Q2. How do you load data into bigquery using dataflow
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Data can be loaded into BigQuery using Dataflow by creating a pipeline in Dataflow that reads data from a source and writes it to BigQuery.
• Create a Dataflow pipeline using Apache Beam SDK

• Read data from a source such as Cloud Storage or Pub/Sub

• Transform the data as needed using Apache Beam transformations

• Write the transformed data to BigQuery using BigQueryIO.write()
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Q1. Current Project
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Q1. Current Project
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Python data analysis interview

Projects which i worked on

Q1. Salary negotation
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Q2. Projects to work on
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Q1. Basic questions about previous experience.
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Q1. SQL questions Basic
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Q2. SQL questions advanced
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Q1. What is the difference between group by and partition by
Ans. 
Group by is used to group rows based on a column, while partition by is used to divide rows into partitions based on a column.
• Group by is used with aggregate functions to summarize data

• Partition by is used to perform window functions on each partition separately

• Group by creates a single result set, while partition by can create multiple result sets

• Group by is used in SQL, while partition by is used in window functions
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Resume short listing

2 coding questions easy with aptitude questions as well