Impact Analytics Data Engineer Interview Questions and Answers

It wa really a great experience.

It was really a great experience.

Q1. Where do you see yourself after 3 years?
Ans. 
In 3 years, I see myself leading a team of data engineers, implementing cutting-edge technologies, and driving impactful data-driven decisions.
• Leading a team of data engineers

• Implementing cutting-edge technologies

• Driving impactful data-driven decisions
Answered by AI
Add your answer
Q2. What are your strenghts?
Ans. 
My strengths include strong analytical skills, attention to detail, and the ability to work well in a team.
• Strong analytical skills - able to analyze complex data sets and derive meaningful insights

• Attention to detail - meticulous in ensuring data accuracy and quality

• Team player - collaborate effectively with colleagues to achieve common goals
Answered by AI
Add your answer

Q1. What projects you have worked upon?
Ans. 
I have worked on projects involving building data pipelines, optimizing database performance, and creating machine learning models.
• Built data pipelines using Apache Spark and Kafka

• Optimized database performance by tuning queries and indexes

• Created machine learning models for predictive analytics

• Implemented real-time data processing using technologies like Apache Flink
Answered by AI
Add your answer
Q2. What is your CGPA?
Ans. 
My CGPA is 3.8 out of 4.0.
• My CGPA is 3.8, which is considered high in my university.

• I have consistently maintained a high CGPA throughout my academic career.

• I have received several academic awards based on my CGPA.

• My CGPA reflects my dedication and hard work towards my studies.
Answered by AI
Add your answer
Q3. What are your hobbies?
Ans. 
My hobbies include hiking, photography, and playing the guitar.
• Hiking: I enjoy exploring nature trails and challenging myself physically.

• Photography: I love capturing moments and landscapes through my camera lens.

• Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.
Answered by AI
Add your answer

Sql assessment round

Q1. Python gcp biquery airflow dataflow sql
Add your answer

Q1. Recent projects experience, bigquery, sql
Add your answer

Q1. Salary discussion
Add your answer

Python and SQL questions were asked

Q1. I was asked about the project
Add your answer

Q1. ACID properties of DBMS
Add your answer

Q1. HR question and family background
Add your answer

It was a written test where theoretical SQL questions were asked like primary key, foreign key, set operators and some queries

Q1. All SQL Concepts like Join, normalization, trigger, stored procedure, keys, drop truncate del difference, where having difference, Aggregate scaler window functions, fetch duplicate records query, acid pro...read more
Add your answer

Two coding questions

Q1. DBMS questions, keys
Add your answer
Q2. SQL related queries
Add your answer

Q1. Testing concepts STLC
Add your answer
Q2. Java code to reverse a string
Ans. 
Java code to reverse a string
• Use StringBuilder class to reverse the string

• Call reverse() method on the StringBuilder object

• Convert the StringBuilder object back to String using toString() method
Answered by AI
Add your answer

Q1. Agile concepts like sprints planning and Jira
Add your answer

Q1. Describe your workflow of the last project
Ans. 
Developed ETL pipeline to ingest, clean, and analyze customer data for personalized marketing campaigns
• Gathered requirements from stakeholders to understand data sources and business objectives

• Designed data model to store customer information and campaign performance metrics

• Implemented ETL process using Python and Apache Spark to extract, transform, and load data

• Performed data quality checks and created visualizations ...read more
Answered by AI
Add your answer
Q2. What are the different transformations you have used
Ans. 
I have used various transformations such as filtering, joining, aggregating, and pivoting in my data engineering projects.
• Filtering data based on certain conditions

• Joining multiple datasets together

• Aggregating data to summarize information

• Pivoting data from rows to columns or vice versa
Answered by AI
Add your answer

General Aptitude Questions

Q1. Queries on SQL, Basic Statistic Question related to normal curve, Basic Python question(from python interview question list of any website)
Add your answer
Q2. Shape of normal Distribution
Ans. 
The shape of a normal distribution is bell-shaped and symmetrical.
• A normal distribution has a peak at the mean and tails that extend to infinity in both directions.

• The distribution is symmetrical, meaning that the left and right halves mirror each other.

• The standard deviation determines the spread or width of the distribution.

• Many natural phenomena and measurements in various fields follow a normal distribution.

• Example...read more
Answered by AI
Add your answer
Q3. Valuess of mean median and mode
Ans. 
Mean, median, and mode are measures of central tendency in statistics.
• Mean is the average of a set of numbers, calculated by summing all the values and dividing by the total count.

• Median is the middle value in a sorted list of numbers. If there is an even number of values, it is the average of the two middle values.

• Mode is the value that appears most frequently in a set of numbers. It can be a single value or multiple
Answered by AI
Add your answer

Q1. General HR questions
Add your answer

Q1. General discussion round with ceo and about projects
Add your answer