WRITTEN TEST: 

Online Programming and Aptitude Test

• English
• Analytical Reasoning
• Quantitative Techniques
• R
• SQL
• Python
• Tableau

GROUP DISCUSSION: NO

SKILLS REQUIRED

• SQL
• C
• C++
• Java
• J2EE/.NET
• Linux

INTERVIEW GUIDELINES

Round 1 : Telephonic/Video Interview

• Checks whether you are eligible for the job
• Tests one’s ability to think logically from all aspects, structure the problem, give a comprehensive solution

Questions

• We take pride in our company culture. Which aspect of the Fractal Analytics culture do you find most attractive?
• Fractal Analytics fully appreciates the value of employee training. Describe your learning style. Do you prefer online training or learning in a classroom setting?
• Fractal Analytics strives to remain at the forefront of innovation in this competitive industry. Describe a situation where you took the initiative to improve an existing process or develop a new one.
• What do you think is the best way to communicate Fractal Analytics's strengths and ultimately be considered by decision-makers looking for our services?
• What do you believe to be Fractal Analytics's strengths and weaknesses?
• If you are offered a position at Fractal Analytics, which of our products or services would you be most excited to work on, and why?

Round 2 : Technical Interview

• Technical questions on the domain

Questions

• What is Hive and Spark? Explain its optimization techniques.
• What happens if the file size is more than the memory in driver?
• How to read XML files?
• Difference between XML and JSON files.
• How to avoid Hbase Hotspotting?
• What is Cap theorem? What are its basic requirements?
• What is YARN architecture?
• What is deploy mode in spark?
• How will you join data coming from different pipelines in flume?
• Is partitioning possible in bucketing?

Round 3 : HR/Business Round

• Checks how you fit into the company
• Questions on skills mentioned in your resume
• Previous projects and internships

Questions

• Tell me something about yourself which is not mentioned in your resume.
• Do you consider yourself successful?
• Tell me about your projects. What technology did you use? What are the challenges that you faced?
• At Fractal Analytics you would be working with multiple clients at a time. How will you meet everyone's needs?
• How will you contribute to the overall mission of Fractal Analytics?
• What made you decide to apply to Fractal Analytics?
• Fractal Analytics does its best to maintain strong relationships with its clients. How will you ensure our clients remain loyal?
• Outline for me your process when beginning a new project.
• How does data drive a business' success?