Are You Planning A Career In Hadoop?

Hadoop is Java-based programming open source framework, which is used for supporting huge amount of data processing. It was developed as a part of Apache project and sponsored by Apache Software Foundation. Hadoop developers play an important role in coding of the Hadoop application programs.

Let’s know and understand about the role and responsibilities of a Hadoop professional.

Jobs available for Hadoop Professionals:

• Hadoop Developer

All the actual coding and programming of the Hadoop applications is done by the Hadoop developers. The developers must have knowledge in writing MapReduce jobs and Pig Latin Scripts. They must be well acquainted with HiveQL and should have experience with workflow like Oozie.

• Hadoop Architect

All the designing and managing of the Hadoop applications is done by a Hadoop architects. They must have an experience with platforms such as MapR, Cloudera and HortonWorks. Their main task is to create requirement analysis, and choose the platform for the Hadoop applications. They also create the technical architecture and designing of apps. The experts are also trained to deploy solution for Hadoop applications on an ongoing basis.

• Hadoop Tester

If there is any error or bugs in the Hadoop applications, they are managed and eradicated by the tester. Their major role includes constructing test cases for the Hadoop components and arresting all bugs. They also report defects in the development team and managing them. The skills that Hadoop testers must have are knowledge of Pig, Hive, Java and Junit.

• Hadoop Administrator

The people who look after the administration of the applications and infrastructure are called Hadoop administrators. They also set up new Hadoop users. They maintain and support the HDFS. They have an experience in HCatalog, Hive, and Oozie.

• Data Scientists

The data scientists manage and analyze the data from various sources for making intelligent decisions and helping business. They have both software engineer skills and skills of an applied scientist.

Hadoop Developer – Tasks To Be Handled

The jobs managed by the Hadoop developer depend upon the domain/sector. The major tasks these professionals handle are:

• Development of whole application, which includes coding and implementation.


• The method of pre-processing is carried out by the developers using Pig and Hive.


• Professionals play an important role in designing, configuring, supporting, and installing Hadoop.


• They perform the analysis to uncover insights and data stores.


• The security of the coding and applications to keep the data secure is also maintained efficiently.


• They deploy and manage the HBase.


• They propose best standards and practices.


• They perform high-speed querying.


• All the technical requirements and complex functions are translated by the developers into detailed and systematic design.


• As they are a part of POC effort, they help build new Hadoop clusters.


• They create high-performance and scalable web services for data tracking.

Hadoop Developers –Basic Skills Required

• One of the most important skills is that they must have full knowledge about Hadoop


• They must have knowledge about back-end programming like Java, OOAD, and Node.js


• The developer should know how to write the MapReduce jobs and Pig Latin scripts


• Having problem solving and analytical skills is very important


• They must have an experience and knowledge in writing reliable, high performance and maintainable code


• Should possess good knowledge of database structures, principles, theories, and practices


• Experience in HiveQL and knowing loading tools such as Flume is a must


• The developer should have an aptitude in concurrency concepts and multi-threading

Hadoop developers must have vast knowledge and experience about high-performance coding. Many fields now require tapping the skills of these professionals including advertising, life sciences, government, media, entertainment, manufacturing, healthcare, retail, natural resources, telecommunications and many more. There are limitless opportunities and scope for Hadoop developers, which are expected to widen more in the future.