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I applied via Referral and was interviewed in Jul 2022. There were 3 interview rounds.
Aptitude test based on some company's working relevence questions
I applied via Referral and was interviewed in Mar 2022. There were 2 interview rounds.
Assignment about English language and basic computer konwladge and aptitude
Artificial intelligence is the simulation of human intelligence in machines that are programmed to think and learn like humans.
AI involves the development of algorithms and models that can perform tasks that typically require human intelligence.
Machine learning, natural language processing, and computer vision are some of the key areas of AI.
AI is used in various industries such as healthcare, finance, and transportati...
I applied via Recruitment Consulltant and was interviewed before Feb 2021. There were 2 interview rounds.
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posted on 26 Aug 2021
I applied via Naukri.com and was interviewed before Aug 2020. There were 4 interview rounds.
I applied via LinkedIn and was interviewed in Nov 2024. There were 4 interview rounds.
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...
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 ...
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
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
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
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
I applied via Naukri.com and was interviewed in Sep 2024. There were 3 interview rounds.
1 python question and 1 sql question for coding and rest were the mcqs based on sql and python.
I applied via Referral and was interviewed in Nov 2024. There was 1 interview round.
posted on 8 Feb 2025
I was interviewed in Jan 2025.
I applied via LinkedIn and was interviewed in Dec 2024. There were 3 interview rounds.
Related to Statistics
Related Excel and SQl
posted on 8 Nov 2024
I applied via Campus Placement
Aptitude test had few quant and verbal questions then SQL MCQs and 3 Coding question
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...
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