STAGE Data Analytics Interview Questions and Answers

Oops dsa sql network

Q1. Dsa based python question
Add your answer
Q2. Dsa based python question on tress
Add your answer

Q1. Sql question queries
Add your answer
Q2. Sql question query
Add your answer

I was hiring drive. First round was coding test with medium to advanced SQL, data modelling and python questions

Q1. Data model e commerce application
Add your answer
Q2. Higest nth rank and lowest rank if no of employees less than 2
Ans. 
If number of employees is less than 2, highest and lowest rank will be the same.
• If there are less than 2 employees, both highest and lowest rank will be the same.

• For example, if there is only 1 employee, their rank will be 1 which is both the highest and lowest rank.
Answered by AI
Add your answer
Q3. Event session data modeling
Add your answer

Q1. Sql-self join, non equi join, window funtion, consecutive seats, data modeling, stock market maximum profit sql question
Add your answer

Q1. This was hiring manager round. Detailed discussions on project and previous experience
Add your answer

Q1. Strength, weakness and why myntra
Add your answer

Q1. Sql query question
Add your answer
Q2. SQL query question based on window functions
Add your answer

Majorly the interviews revolve around the following skills :
1. Advanced SQL
2. PYTHON (DSA)

Majorly the interviews revolve around the following skills :
1. Advanced SQL
2. python (DSA)

Q1. Which techniques you would have used on a system you have worked in the past to be able to optimise it further. (Deep knowledge of the databases is required)
Ans. 
I would have used indexing, query optimization, and data partitioning to optimize the system.
• Implement indexing on frequently queried columns to improve search performance.

• Optimize queries by using proper joins, filters, and aggregations.

• Partition large tables to distribute data across multiple storage devices for faster access.

• Use materialized views to precompute and store aggregated data for quicker retrieval.
Answered by AI
Add your answer
Q2. Situational questions on the ETL tools used and advantages and disadvantages of both
Add your answer

Q1. Describe a complex situation you were in at workplace and how did you handle it?
Ans. 
Handled a complex data migration project by breaking it down into smaller tasks and collaborating with team members.
• Identified key stakeholders and their requirements

• Developed a detailed project plan with timelines and milestones

• Assigned specific tasks to team members based on their strengths and expertise

• Regularly communicated progress updates and addressed any issues promptly
Answered by AI
Add your answer

Q1. Explain data architecture of your project
Add your answer
Q2. Explain data lake
Add your answer

Q1. Introduce yourself
Ans. 
I am a data engineer with 5 years of experience in designing and implementing data pipelines for analytics.
• Experienced in ETL processes and data modeling

• Proficient in programming languages like Python and SQL

• Familiar with big data technologies such as Hadoop and Spark
Answered by AI
Add your answer
Q2. Talk about previous project
Ans. 
Developed a real-time data processing system for analyzing customer behavior
• Used Apache Kafka for real-time data streaming

• Implemented data pipelines using Apache Spark for processing large volumes of data

• Designed and optimized data models for efficient querying

• Integrated machine learning models for predictive analytics
Answered by AI
Add your answer

Q1. Work experince , resume walk thorugh
Add your answer
Q2. Location preferences,salary etc.
Add your answer

Q1. SQL,python coding round
Add your answer
Q2. Data warehousing concepts
Add your answer