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Professionals with Hadoop or Big Data mentioned on their resume are today writing their own tickets wherever they go! They get the best of jobs, plumpest of pay packets and are highest in demand. The current market trends also suggest that Hadoop and Big Data will grow bigger and better.

Why it's easier for a Java professional to switch to Hadoop?

Hadoop is an open-source, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. Based on Google's MapReduce model, Hadoop distributes computing jobs and then combines results. The MapReduce scripts used here are written in Java.

So yes, it is true that you need to know Java to know Hadoop! And a programmer who has hands-on experience on Java and above average analytical skills to apply the concepts in Hadoop, can almost seamlessly switch over to Hadoop. HDFS (Hadoop Distributed File System) is written in Java, which makes Java-Hadoop a valuable skill combination.

Job Opportunities: Big Data Architect, Business Intelligence Engineer, Data Analyst, Data Engineer, Data Scientist, Big Data Tester Salary:a Java Hadoop developer is likely to earn an average salary of $150,000 annually

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  • Software Engineers, who are into ETL/Programming and exploring for great job opportunities in hadoop.
  • Any Graduate/Post-Graduate, who is aspiring a great career towards the cutting edge technologies in IT.
  • Managers, who are looking for the latest technologies to be implemented in their organization, to meet the current & upcoming challenges of data management.

Salary: Most analytical companies pay candidates a modest 4-7lakhs per annum at the entry level.
Click to check out Payscale here.

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