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Alfa Data Engineer Interview Questions and Answers
Alfa Data Engineer Interview Experiences
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed in Apr 2024. There were 2 interview rounds.
(2 Questions)
- Q1. What is delta lake
- Ans.
Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.
Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing.
It ensures data reliability and data quality by providing schema enforcement and data versioning.
Delta Lake is compatible with Apache Spark and supports various data formats like Parquet, ORC, an
- Q2. What is databricks
- Ans.
Databricks is a unified data analytics platform that provides collaborative environment for big data processing and machine learning.
Databricks provides a unified platform for data engineering, data science, and machine learning.
It is built on top of Apache Spark and offers a collaborative workspace for teams to work on big data projects.
Databricks allows users to write code in multiple languages like Python, Scala, SQ...
(2 Questions)
- Q1. Salary expectations
- Q2. Willing to relocate
- Ans.
Yes, I am willing to relocate for the right opportunity.
I am open to relocating for a position that aligns with my career goals and offers growth opportunities.
I have relocated in the past for job opportunities and have found it to be a positive experience.
I am excited about the possibility of exploring new cities and cultures through relocation.
Skills evaluated in this interview
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I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
It was basic coding to test the Python skills like reading data from local and uploading in cloud then some basic dag related questions
(4 Questions)
- Q1. Clustering and partition difference in data warehousing solutions
- Ans.
Clustering involves grouping similar data together, while partitioning involves dividing data into smaller, manageable sections.
Clustering is used to group similar data points together based on certain criteria, such as customer segments or product categories.
Partitioning involves dividing a large dataset into smaller, more manageable sections for easier data retrieval and processing.
Clustering is often used for data a...
- Q2. What are the different approaches to Optimising SQL
- Ans.
Different approaches to optimizing SQL include indexing, query optimization, and database design.
Use indexing to improve query performance
Optimize queries by avoiding unnecessary joins and using appropriate functions
Design the database schema efficiently to reduce redundancy and improve data retrieval speed
- Q3. Spark and it’s architecture
- Q4. Finding the count of Item bought by an customer from Flipkart during a year excluding February
- Ans.
To find the count of items bought by a customer from Flipkart during a year excluding February, you need to aggregate the data and filter out February transactions.
Aggregate the data by customer and item purchased
Filter out transactions from February
Count the number of items bought by each customer
Interview Preparation Tips
Bhavya R
(2 Questions)
- Q1. What are the different optimization techniques used in your project
- Q2. SQl logic question regarding joins
I applied via Approached by Company
Python and SQL Questions (Easy to Medium)
(5 Questions)
- Q1. Project Work Discussion
- Q2. SQL Coding (Can be with an online compiler)
- Q3. Python Coding (Can be with an online compiler)
- Q4. PySpark Coding (All the coding answers have to be submitted to the interviewer)
- Q5. PySpark Joins, and Databricks, and Vanilla Spark difference
(3 Questions)
- Q1. SQL 2 Questions (Easy to Medium) (Maybe on the compiler)
- Q2. Python (Easy) (Maybe on compiler)
- Q3. Scenario-based questions on the project
Interview Preparation Tips
For Coding be prepared with:
DSA: Easy
SQL: Easy to Medium (Always be prepared with the NULL-based SQL queries and how they behave)
PySpark: Easy (RDD and data frame)
I applied via LinkedIn and was interviewed in Jun 2024. There was 1 interview round.
(3 Questions)
- Q1. Sql question related to windows function
- Q2. Unix basics - find a word in a set of files
- Ans.
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
- Q3. Python question related to file system, regex
Interview Preparation Tips
Skills evaluated in this interview
(1 Question)
- Q1. Current Project
(1 Question)
- Q1. Current Project
I applied via Job Portal
Python data analysis interview
Projects which i worked on
(2 Questions)
- Q1. Salary negotation
- Q2. Projects to work on
I applied via Campus Placement
Resume short listing
2 coding questions easy with aptitude questions as well
Based on your job description coding questions will be asked in different categories. If you are able to manage time. It is easy to crack
(2 Questions)
- Q1. Optimization techniques in pyspark
- Ans.
Optimization techniques in pyspark involve partitioning, caching, and using efficient transformations.
Partitioning data to distribute workload evenly
Caching frequently accessed data to avoid recomputation
Using efficient transformations like map, filter, and reduce
Avoiding unnecessary shuffling of data
- Q2. Few coding questions. Find the first unique character in string
(1 Question)
- Q1. It is bit difficult for me. Mention your work experience
Skills evaluated in this interview
Selected
I was interviewed before Feb 2023.
(1 Question)
- Q1. Basic questions about SAP and business workflow
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