All you need to know to become a successful Hadoop Developer

Hadoop is a Java-based free programming framework that backs up processing of huge data sets in a dispersed computing environment. It is included in the Apache project which is sponsored by Apache Software Foundation. The present Apache Hadoop ecosystem comprises of the MapReduce, Hadoop kernel, Hadoop Distributed File System (HDFS), and a number of related projects likeHBase, Zookeeper and Apache Hive. A Hadoop Developer is responsible for the programming and coding of Hadoop applications which is a component of the Big Data domain.

With the traction of big data into the software industry, major brands like Yahoo, IBM,and Google are looking for experienced Hadoop developers with adequate knowledge of Big Data domain. This Hadoop framework is employed by the major players such as Yahoo IBM and Google, mostly for the applications using advertising and search engines .The operating systems used are Linux and Windows but Hadoop also functions with OS X and BSD.

 Hence, in order to get a high caliber job in one of these noted brands, master the skills of programming large data with Hadoop by doing a Hadoop developer course. Learn the advanced Hadoop models like Flume, MapReduce, Oozie, Impala, Yarn and Zookeper through the BigData training.

Job Responsibilities of a Hadoop Developer:

A Hadoop Developer has many responsibilities and the job responsibilities are dependent on the domain/sector, where some of them would be applicable and some might not. The following are the tasks a Hadoop Developer is responsible for:

• The key responsibility of a Hadoop developer is the development and implementation of Hadoop


• To employ Hive and Pig for pre-processing. The data analysts, who make use of structured data use the Hive Hadoop component and the programmers and researchers who use semi structured data use Pig Hadoop component


• Build, design, configure, install and support Hadoop


• Translation of complex technical and functional requirements into a meticulous, exhaustive design.


• Analyze vast stores of data and unearth insights


• Maintain data privacy and security


• Create high-performance and scalable web services for data tracking


• Questioning at a high speed


• Managing and deploying HBase is another job responsibility entrusted to a Hadoop Developer


• He/She is a part of the POC (Proof of concept) effort and enables in building new clusters of Hadoop


• Testing prototypes and supervising handing it over to the operational teams.


• Suggesting the best practices

Skills Required In aHadoop Developer:

The job responsibilities of a Hadoop Developer are already mentioned. Certain skills are required to become an adroit Hadoop developer. The following comprises of the set of skills a proficient Hadoop developer should have and that are required by employers from various domains.

• Apart from having adequate knowledge in Hadoop, he/she should be conversant with back-end programming especially java, JS, Node.js and OOAD


• Should have the proficiency of writing MapReduce jobs and dependable, conceivable and high geared codes


• Should have the expertise of writing Piglatin scripts.


• Should have profound knowledge of theories, database structures, principles, and practices.


• Should be familiar with the data loading tools like Sqoop, Flume and have adequate workflow knowledge like Oozie


• Should have a profound aptitude in concurrency concepts and multi-threading


• Should have the aptitude for analytical problem-solving skills associated with the Big Data domain


• Should have hands on experience in HiveQL


• Should have sound knowledge of HBase, Hive and Pig

Besides the IT sector, Hadoop developers are widely recruited in finance, media and entertainment, government, life sciences, manufacturing, trade and transport, healthcare, travel, telecommunications, natural resources, advertising and a host of other sectors. Thus, students and professionals who are eager to acquire the much-needed expertise in the different components of Hadoop can do so with a Hadoop developer training.