Capgemini Hadoop Interview Questions

Capgemini Hadoop Interview Questions


Capgemini, a leading provider of consulting, technology and outsourcing services, helps companies identify, design and develop technology programs to sharpen their competitive edge. Hadoop has superlatively provided organizations with the ability to handle an exponentially growing amount of data and Capgemini is no different when it comes to using Hadoop for storing and processing big data.

Capgemini, in partnership with the leading Hadoop distribution vendor Cloudera allows clients to identify novel opportunities to exploit big data better and enhance analytics at an economical cost on par with business objectives. Capgemini’s Big Data Service Centre framework lets organizations implement next generation data management architecture that uses Hadoop. Capgemini’s big data service centre framework integrates CDH (Cloudera Hadoop Distribution) and Capgemini’s Rightshore Approach, to provide a high-performing and cost optimized support and delivery engine for clients - to execute big data transformations to get meaningful insights when needed. Capgemini’s integrated solution in partnership with Cloudera, optimizes the value of data and storage costs to make the best use of novel big data technologies like Hadoop and Spark.

Capgemini Hadoop Interview Questions

The average Hadoop developer salary at Capgemini in India is usually INR 9 lacs per annum, however, it varies based on the skillset and experience a professional has.

For the complete list of big data companies and their salaries- CLICK HERE

As of August 9, 2016 -Glassdoor listed 92 job openings for Hadoop skill at Capgemini.

Capgemini Hadoop Jobs

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To nail a Hadoop job interview at Capgemini, you can follow some simple tips that will help you get through the lengthy process-

  • Be strong with your basics about Hadoop- Have good knowledge of each and every component in the Hadoop ecosystem, understand its working and architecture, what it does, when to use it and how Hadoop solves big data problems.
  • Know how to implement the functionalities of each component in the Hadoop ecosystem into your big data solution.
  • Practice as many hands-on projects on various tools in the Hadoop Ecosystem.

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