Signzy Technologies Data Operations Engineer Interview Questions and Answers

Q1. Basic to medium level questions on SQL
Add your answer

Q1. Introduce Yourself
Ans. 
I am a data analyst with a background in statistics and experience in analyzing large datasets to drive business decisions.
• Graduated with a degree in Statistics

• Proficient in data analysis tools such as Python, R, and SQL

• Experience in creating visualizations to communicate insights

• Strong problem-solving skills
Answered by AI
Add your answer
Q2. Skills you have
Add your answer

Q1. ML questions related to previous projects
Add your answer

They are asking about SQL queries and BI dashboard knowledge

Q1. 1. Tell about yourself? 2. What is your Project? 3. WHat challenges faced in Data Engineering role 4. BI dashboard development experience
Ans. 
I am a data engineer with experience in BI dashboard development and overcoming challenges in the field.
• I have worked on various data engineering projects, including building data pipelines and optimizing data storage.

• One of my notable projects involved developing a real-time data processing system for a retail company, which improved their inventory management and sales forecasting.

• In my previous role, I faced challen...read more
Answered by AI
Add your answer
Q2. 1. What is Data models 2. What are the activities used in ADF 3. What is IR?
Ans. 
Answers to questions related to Data Models, ADF activities, and IR.
• Data models are the representation of data structures and relationships between them.

• ADF activities include data movement, data transformation, and control activities.

• IR stands for Integration Runtime, which is a compute infrastructure used to provide data integration capabilities across different network environments.
Answered by AI
Add your answer

6 mcqs and 2 sql questions

Q1. Difference between having and where in sql
Ans. 
In SQL, 'HAVING' is used with GROUP BY to filter groups, while 'WHERE' is used to filter rows before grouping.
• HAVING is used with GROUP BY to filter groups based on aggregate functions

• WHERE is used to filter rows before grouping

• HAVING is used after GROUP BY in the query, while WHERE is used before GROUP BY

• Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000;

• Example: S
Answered by AI
Add your answer
Q2. Sql joins and it types
Add your answer
Q3. Window functions and subqueries
Add your answer
Q4. Sql scenario question based on joins
Add your answer
Q5. Kpi's and metrics
Add your answer

Q1. Business problem related to case study
Add your answer

It was basically Arrays and String

It was given based on Docker

Q1. Asked about myself
Add your answer

They are asking about SQL queries and BI dashboard knowledge

Q1. 1. Tell about yourself? 2. What is your Project? 3. WHat challenges faced in Data Engineering role 4. BI dashboard development experience
Add your answer
Q2. 1. What is Data models 2. What are the activities used in ADF 3. What is IR?
Ans. 
Answers to questions related to Data Engineer role
• Data models are the logical representation of data objects and their relationships

• ADF activities include data movement, data transformation, and control activities

• IR stands for Integration Runtime, which is a compute infrastructure used to provide data integration capabilities
Answered by AI
Add your answer

HackerEarth based assessment.
1. 8 qs were stats & prob based multiples choices
2. 2 were medium level sql questions.

Q1. Started with basic sql question like diff btw nosql & sql, join etc
Add your answer
Q2. Table were given in google sheet & had to write basic level queries on them eg. cte's, agg function, lead & lag func
Add your answer

Q1. The interviewer was not serious at all, asked silly quizzes instead of business case study, KPI & metrics
Add your answer
Q2. Prepare for logical reasoning
Add your answer