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“Big Data will replace the need for 80% of all Doctors” – Vinod Khosle

Data is going to be the oil of the recent times which each and every organization in various domains are looking around to perform the best to their customers. Hadoop plays a major role to make their work easy by providing massive storage option, enormous processing power and more.

This large amount of usage of Hadoop leads to more number of Hadoop job opportunities, An recent update states that there are nearly 1.4lk unfilled Big Data Hadoop Jobs in India. Also, the Hadoop developer’s career path is very much success when you enhance your skills frequently with professional Hadoop training programs.

Big Data Hadoop developer skill set of 2018 is what that we going to discuss here to get the clear picture of it which helps you to develop yourself.

“In God we trust. All others must bring data.” – W. Edwards Deming

Hadoop Developers Jobs in Various Domains:



“Data really powers everything that we do.” – Jeff Weiner

Also Read: Top 5 Certifications for Career Change

Different Hadoop Developer Roles:

The roles of Hadoop developers various according to their experience, Here are the list of available job roles in the industry,

  • Hadoop Developer
  • Hadoop Architect
  • Hadoop Administrator
  • Hadoop Tester
  • Data Scientist

“Information is the oil of the 21st century, and analytics is the combustion engine.” – Peter Sondergaard

Hadoop Developer Career Path

Clear graph of a Hadoop Developer Career Path,


“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore

Also Read: Top Trending Software Technologies 2018

Skills of a Hadoop Developer 2018:

  • Knowledge of agile methodology for delivering software solutions
  • Design, develop, document and architect Hadoop applications
  • Work with Hadoop Log files to manage and monitor it
  • Develop MapReduce coding that works seamlessly on Hadoop clusters
  • Working knowledge of SQL, NoSQL, data warehousing & DBA
  • Expertise in newer concepts like Apache Spark and Scala programming
  • Complete knowledge of the Hadoop ecosystem and Hadoop Common
  • Seamlessly convert hard-to-grasp technical requirements into outstanding designs
  • Designing web services for swift data tracking and Querying data at high speeds
  • Test software prototypes, propose standards and smoothly transfer it to operations


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