iMerit Data Annotator Interview Questions and Answers

Q1. Current day to day tasks
Ans. 
My current day-to-day tasks involve designing and implementing data pipelines, optimizing data storage and retrieval, and collaborating with cross-functional teams.
• Designing and implementing data pipelines to extract, transform, and load data from various sources

• Optimizing data storage and retrieval processes for efficiency and scalability

• Collaborating with cross-functional teams to understand data requirements and del...read more
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Q2. Question on data modelling(star vs snowflake)
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Q3. Questions on data warehousing Dimensions, Facts, CDC, SCD types
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Q4. Questions on snowflake product and variety on objects there use case and optimizations, partition pruning.
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Q5. SQL queries: as per snowflake documentation 1. Read json file and extract data 2. sql query with subqueries to update records 3. sql query on window functions
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Q6. Easy Pyspark coding question.
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Q1. Project end to end detailed explanation and follow up questions.
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Q2. Questions on data warehousing concepts like facts & dimensions in detail
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Q3. Question on semi structured file formats
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Q4. Questions on snowflake product: 1. tasks 2. streams 3. time travel 4. meta data caching 5. views vs materialized views 6. how would you spin up an warehouse cluster
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Q5. Questions on spark 1. lazy evaluation 2. handling skew 3. data partitioning 4. pandas vs spark
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Q6. Questions on aws 1. lambda functions, synchronous vs asynchronous calls 2. dynamic frames, transformations 3. glue crawler 4. s3 storage classes
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Q7. SQL question using cross join, python question on string
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Q1. End to end project architecture.
Ans. 
The end-to-end project architecture involves designing and implementing the entire data pipeline from data ingestion to data visualization.
• Data ingestion: Collecting data from various sources such as databases, APIs, and files.

• Data processing: Cleaning, transforming, and aggregating the data using tools like Apache Spark or Hadoop.

• Data storage: Storing the processed data in data warehouses or data lakes like Amazon S3 ...read more
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Q2. Questions on data modelling: 1. facts and types of facts 2. dimensions and its types 3. normalization vs denormalization
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Q3. Questions on automating spark notebooks and optimization on spark job.
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Q4. How to migrate 1000s of tables using spark(databricks) notebooks
Ans. 
Use Spark (Databricks) notebooks to migrate 1000s of tables efficiently.
• Utilize Spark's parallel processing capabilities to handle large volumes of data

• Leverage Databricks notebooks for interactive data exploration and transformation

• Automate the migration process using scripts or workflows

• Optimize performance by tuning Spark configurations and cluster settings
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Q5. Questions on delta format
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Q6. Sql question on joins and numbers of records for each type of join.
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Q1. Reason for change
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Seeking new challenges and opportunities for growth in a more dynamic environment.
• Desire for new challenges and learning opportunities

• Seeking a more dynamic work environment

• Looking to expand skill set and experience

• Interested in working on cutting-edge technologies

• Seeking better career advancement prospects
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Q2. Expectations from EPAM
Ans. 
I expect EPAM to provide challenging projects, opportunities for growth, a collaborative work environment, and support for continuous learning.
• Challenging projects that allow me to utilize my skills and knowledge

• Opportunities for professional growth and advancement within the company

• A collaborative work environment where teamwork is valued

• Support for continuous learning through training programs and resources
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Q3. Willing to relocate? when can you join
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Yes, I am willing to relocate for the right opportunity. I can join the company within 4 weeks.
• Willing to relocate for the right opportunity

• Can join within 4 weeks

• Open to discussing relocation assistance if needed
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1 python question and 1 sql question for coding and rest were the mcqs based on sql and python.

Q1. Python code was asked for checking the anagrams
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Q2. Sql code asked to solve on screen share using various use cases like group by, having, count
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Q1. Python code was asked for swaping any number but without using python libraries
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Q2. Sql code was asked using concepts of rank dense,rank, partition by
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Q1. Diff between Coalesce and repatriation
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Q1. What's your expectation salary
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Q2. What yours experience
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Related to Statistics

Related Excel and SQl

Q1. What is your salary expectation
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Aptitude test had few quant and verbal questions then SQL MCQs and 3 Coding question

Q1. Questions about guesstimates and puzzles
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Q2. Which coding language is better and why?
Ans. 
There is no one 'better' coding language, as it depends on the specific use case and requirements.
• The best coding language depends on the project requirements, team expertise, and ecosystem support.

• For data engineering, languages like Python, Scala, and SQL are commonly used for their data processing capabilities.

• Python is popular for its simplicity and extensive libraries like Pandas and NumPy, while Scala is known fo...read more
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