Boeing Data Engineer Interview Questions and Answers

Q1. There were questions of DSA, DBMS, OS etc
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Q2. There were questions around project that were mentioned in resume.
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Medium to hard level questions were asked and that mostly covers basics of DSA

Q1. Oops ,DBMS and DSA logical questions
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Hackerrank test basic kotlin and android

There were easy to moderate difficulty level questions

Q1. Explain your resume
Ans. 
My resume showcases my experience in data engineering, including projects involving ETL processes, data modeling, and database management.
• Experience with ETL processes, including extracting data from various sources, transforming it, and loading it into a data warehouse

• Proficiency in data modeling techniques to design efficient database structures

• Strong skills in database management, including SQL queries, performance ...read more
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Q2. Do you know about cloud
Ans. 
Yes, cloud computing refers to the delivery of computing services over the internet.
• Cloud computing allows for on-demand access to a shared pool of resources, such as servers, storage, and applications.

• Examples of cloud services include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.

• Cloud computing offers scalability, flexibility, and cost-efficiency for businesses and individuals.

• Common cloud de...read more
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Tree algorithm about some riddels

Q1. 2 rounds of interview were conducted round 1-Questions were based on my projects and resume
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Q2. Round 2- Questions were based on my project.
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Q1. Tell me about your self
Ans. 
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
• Background in statistics and programming

• Experience in data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving and critical thinking skills

• Ability to communicate complex data findings to non-technical stakeholders
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Q2. What are your career goals
Ans. 
My career goal is to become a senior data analyst in a reputable company, where I can utilize my skills to drive data-driven decision-making and contribute to the organization's success.
• Advance to a senior data analyst role

• Contribute to data-driven decision-making

• Work for a reputable company

• Continuous learning and skill development
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Q3. What is your strength and weakness
Ans. 
Strength: Strong analytical skills, Weakness: Overthinking
• Strength: Ability to analyze complex data sets and derive meaningful insights

• Strength: Proficiency in data visualization tools like Tableau and Power BI

• Weakness: Tendency to overthink and spend too much time on minor details

• Weakness: Struggle with delegating tasks and trusting others to complete them
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Q4. Intresting role about company
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Q5. Developing skills
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