Bloomberg Data Engineer Interview Questions and Answers

Q1. Sql commands group by and order by
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Q1. Cicd pipeline and kafka
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Q1. Reparitition and pipelines
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Q1. Joins operations
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Q1. What are the optimization techniques used in Apache Spark?
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Q2. 2 SQL queries , 1 PySpark code and 1 Python Code .
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Q3. 2-3 Scenario Based questions from ADF and databricks .
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Oops dsa sql network

Q1. Dsa based python question
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Q2. Dsa based python question on tress
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Q1. Sql question queries
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Q2. Sql question query
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Q1. Spark Architecture
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Q2. Cache vs persist, lazy evaluation
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Q1. Why do you apply for this position
Ans. 
I am passionate about leveraging data to drive insights and make informed decisions.
• Passionate about working with data and analytics

• Excited about the opportunity to contribute to data-driven decision making

• Interested in the challenges and opportunities in the field of data engineering
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Q2. What is your current salay
Ans. 
I am currently earning a competitive salary based on my experience and skills.
• My current salary is in line with industry standards for data engineers.

• I have received raises and bonuses based on my performance.

• I am open to discussing salary expectations for this role.
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Its mandatory test even for experience people

Q1. Related to technology
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Q1. Very good discussion towards work culture, salary and all
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Asked me two string array question one was to reverse a string without any pre build function and second one was a medium question to print the number and the count of it into the next level of the tree

Q1. Who is your idol?
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Q2. How do you menage your work?
Ans. 
I manage my work by prioritizing tasks, setting goals, staying organized, and communicating effectively with team members.
• Prioritize tasks based on deadlines and importance

• Set clear goals and milestones to track progress

• Stay organized with tools like project management software

• Communicate effectively with team members to ensure alignment and collaboration
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Q1. Aws sevices you have worked on
Ans. 
I have worked on various AWS services including S3, EC2, Lambda, Glue, and Redshift.
• S3 - Used for storing and retrieving data

• EC2 - Used for running virtual servers

• Lambda - Used for serverless computing

• Glue - Used for ETL (Extract, Transform, Load) processes

• Redshift - Used for data warehousing and analytics
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Q2. Question on python list and dictionary
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Q1. Questions on project and skillset
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