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Exponentia.ai
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I am currently working on Talend version 7.3.1.
Working on Talend version 7.3.1
Familiar with the features and updates in this version
Experience in developing ETL processes using this version
Parallel processing in Talend allows for executing multiple tasks simultaneously, improving performance.
Use tParallelize component to run subjobs in parallel
Enable parallel execution in job settings
Utilize tFlowToIterate to process data in parallel
Implement parallel processing for large data sets to optimize performance
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I applied via LinkedIn and was interviewed in Aug 2020. There were 5 interview rounds.
Identify the number of stages in a given program, focusing on its structure and flow.
Stages represent distinct phases in a program's execution.
Common stages include initialization, processing, and finalization.
Example: In a data pipeline, stages might be data extraction, transformation, and loading (ETL).
Each stage may have specific tasks and dependencies.
I applied via Company Website and was interviewed before Jan 2024. There were 3 interview rounds.
I have experience working as a Data Engineer in various industries, including healthcare and finance.
Developed data pipelines to ingest, process, and analyze large datasets
Implemented ETL processes to transform data into usable formats
Worked with stakeholders to understand data requirements and deliver solutions
Utilized tools like Apache Spark, Hadoop, and SQL for data processing
Ensured data quality and integrity throu...
Basic Python and SQL
Simple question.. easy to crack
Yet to attend the 2nd round
I appeared for an interview before Jun 2024, where I was asked the following questions.
I applied via LinkedIn and was interviewed before Jan 2024. There were 3 interview rounds.
Basic sql online assessment with some queries and mcq
Developed a data pipeline to ingest, process, and analyze customer behavior data for targeted marketing campaigns.
Designed and implemented ETL processes to extract data from various sources
Utilized Apache Spark for data processing and analysis
Built machine learning models to predict customer behavior
Collaborated with marketing team to optimize campaign strategies
I appeared for an interview in Jan 2025.
Basic Pyspark/python question with some mcqs
I am passionate about data engineering and believe this company offers unique opportunities for growth and learning.
Exciting projects and challenges at this company
Opportunities for growth and learning in data engineering
Alignment with company values and culture
Potential for career advancement and development
Interest in the industry or specific technologies used by the company
posted on 6 Jan 2024
I applied via Campus Placement and was interviewed before Jan 2023. There were 4 interview rounds.
Aptitude test has 70 questions to be done in 75 minutes. It's moderately tough but not very tough with right amount of preparation
I was from non-cs background so coding round was not mandatory but for cs people it was mandatory to clear it. It has SQL and python and they were easy to moderate. I am a fresher (imagineer) so we had to go this interview process
I applied via Job Fair and was interviewed before Feb 2023. There were 3 interview rounds.
1 hour, 2 coding and 20 MCQs
based on 1 interview experience
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