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Futurense Technologies
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I applied via Naukri.com and was interviewed in Nov 2022. There were 5 interview rounds.
30 mcqs and 2 coding questions on both sql and python
I have worked on various data projects involving data analysis, data cleaning, and data visualization.
Developed a data analysis tool using Python and SQL to analyze customer behavior and identify trends.
Cleaned and transformed large datasets using Excel and Python to ensure data accuracy and consistency.
Created interactive dashboards using Tableau to visualize key performance indicators and present insights to stakehol
I applied via Company Website and was interviewed in Jan 2023. There were 4 interview rounds.
On python and sql code and meq on python and sql
I applied via LinkedIn and was interviewed in Nov 2022. There were 4 interview rounds.
20 MCQ's on SQL and Python. 2 coding questions one from Python and SQL.
Level: Intermediate.
Focus more on Subqueries, Window functions.
Pandas and Numpy in Python.
To deal with a problematic employee, address the issue directly, provide clear expectations, offer support and guidance, and consider disciplinary actions if necessary.
Address the issue directly and communicate concerns
Provide clear expectations and goals for the project
Offer support and guidance to help the employee improve
Consider disciplinary actions if the problem persists
Document incidents and maintain a record of
I applied via Recruitment Consulltant and was interviewed in Mar 2024. There were 2 interview rounds.
I applied via Campus Placement and was interviewed before Jul 2020. There was 1 interview round.
I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.
Spark has a master-slave architecture with a cluster manager and worker nodes.
Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.
The cluster manager can be standalone, Mesos, or YARN.
Worker nodes execute tasks and store data in memory or on disk.
Spark can also utilize external data sources like Hadoop Distributed File System (HDFS) or Amazon S3.
Spark supports va...
Basic Questions on python related to strings
Choosing the right technology depends on the specific requirements of the situation.
Consider the data size and complexity
Evaluate the processing speed and scalability
Assess the cost and availability of the technology
Take into account the skillset of the team
Examples: Hadoop for big data, Spark for real-time processing, AWS for cloud-based solutions
EMR is a managed Hadoop framework for processing large amounts of data, while EC2 is a scalable virtual server in AWS.
EMR stands for Elastic MapReduce and is a managed Hadoop framework for processing large amounts of data.
EC2 stands for Elastic Compute Cloud and is a scalable virtual server in Amazon Web Services (AWS).
EMR allows for easy provisioning and scaling of Hadoop clusters, while EC2 provides resizable compute...
I have experience working with both Star and Snowflake schemas in my projects.
Star schema is a denormalized schema where one central fact table is connected to multiple dimension tables.
Snowflake schema is a normalized schema where dimension tables are further normalized into sub-dimension tables.
Used Star schema for simpler, smaller datasets where performance is a priority.
Used Snowflake schema for complex, larger dat...
Yes, I have used Python and PySpark in my projects for data engineering tasks.
I have used Python for data manipulation, analysis, and visualization.
I have used PySpark for big data processing and distributed computing.
I have experience in writing PySpark jobs to process large datasets efficiently.
Yes, I have experience with serverless schema.
I have worked with AWS Lambda to build serverless applications.
I have experience using serverless frameworks like Serverless Framework or AWS SAM.
I have designed and implemented serverless architectures using services like AWS API Gateway and AWS DynamoDB.
Some of the top questions asked at the Futurense Technologies Data Specialist interview -
based on 3 interviews
1 Interview rounds
based on 22 reviews
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