A guide to crack the Hadoop Developer interviews
Big data came into existence and opened the door to a broad
spectrum of job opportunities awaiting skilled and suitable candidates. One of
the most sought-after job in the big data market is Hadoop developer whose
salary ranges from $92,000 to $105,000 per year. Hadoop is considered to be the
mother of all the big data technologies which makes it an efficient platform to
take-off your career in this domain.
What is Hadoop Developer all about?
There are many job roles that work simultaneously on a
Hadoop platform like Hadoop administrator, Hadoop ETL developer, Hadoop
architect, Hadoop analyst, Hadoop tester, etc., but one of the coveted profiles
is the Hadoop developer. A Hadoop developer is responsible for coding of
applications. These codes are developed for storing, managing and analyzing the
big data on the cluster.
job and responsibilitiesA Hadoop developer can be understood
the counterpart of a software developer working in Big data platform.
Fundamentally Hadoop developers are responsible for:
Writing jobs in MapReduceProgramming in Java, JS,
etc.Writing scripts in Pig and HiveLoading and extracting data from
HDFSReviewing the Hadoop log filesCoordinating and scheduling the jobs across
the Hadoop cluster, etc.
Clearly a Hadoop developer is not only responsible for
creating codes but a lot of things additionally that make him an all-rounder
performing multiple tasks at once.Learn why it is high time to switch your
career to Hadoop!
Skill-set required to become a Hadoop Developer
Hadoop does not work alone but many of the additional
software packages jointly make the Hadoop architecture like Hive, Ambari,
HBase, Pig, Oozie, Flume, etc. Therefore a Hadoop developer should have a good
knowledge about these technologies. However an aspirant should always know the
distinction between a ‘must-have skills’ and ‘good-to-have skills’. Though a
complete knowledge is beneficial but a smart work on it will definitely give
you an upper hand.
How should you prepare yourself for a Hadoop Developer
interview?
Cracking any interview needs a lot of preparation on various
aspects. Similarly a Hadoop developer should pay special attention to several
technologies which are crucial to successfully crack the interview.
One of those technologies is MapReduce which is a processing
technique deployed on distributed environment. MapReduce performs some of the
crucial jobs by splitting those in multiple parallel tasks to be processed in
real-time which is why interviewers are keen on asking complex questions on
MapReduce. A Hadoop developer should be proficient in writing MapReduce jobs.
While Java stands as the most preferred programming language
for developing application codes, there are other programming languages like
JS, Node.js, OOAD which make you stand out from the crowd. Another technology
which is extremely important for any Hadoop professional is HDFS. HDFS is a
distributed file system for storing large files and streaming the data to the
applications. Hadoop is just not all about its core components, but there are
other technologies that seem small but play a pivotal role in processing
distributed data on the cluster. Some of such technologies are Pig, Hive, Sqoop
and Flume. These technologies make the data processing and managing tasks
easier on Hadoop cluster. While mastering HiveQL will give you an added
advantage, hand-on experience on writing scripts in Pig and ingesting data
using sqoop and flume will certainly add value to your resume. Find what
top-notch companies ask in the interview for Hadoop developer here!
Three essential interview suggestions
Though gaining knowledge is the foremost activity a
candidate should focus on, there are certain things that an individual should
work on before appearing for a Hadoop developer interview. These are-
Practical experience rather than mere theoretical knowledge-
An individual aspiring to become a Hadoop developer should always emphasise on
gaining practical knowledge in related technologies rather than merely
concentrating on learning theories. Though theoretical knowledge is significant
but working on technologies give a different exposure to the candidates making
them outperform others.
Good communication skill- Knowledge goes in vain if not
communicated properly. Since Hadoop developers work closely with architects,
engineers and analysts, effective communication plays an important role in
fulfilling the job responsibilities.
Domain knowledge- Hadoop is one of the many technologies
used in big data world. The candidate should be knowing the competitors of
Hadoop as well as many other related technologies along with their basic
functionalities. This will help him better support his answers on comparative
grounds.
We are witnessing the immense growth of big data world each
day making it a dream domain for many of the aspirants. However few of them get
to reach there. The reason is proper training. You can also be a Hadoop
professional as Intellipaat provides you the world-class training on Hadoop
architect. Interactive and practical sessions by industrial professionals will
facilitate all the knowledge you need to become a successful Hadoop
professional.[Source]-https://intellipaat.com/blog/guide-crack-hadoop-developer-interviews/
Hadoop
Training In Mumbai at
Asterix Solution is designed to scale up from single servers to thousands of
machines, each offering local computation and storage. With the rate at which
memory cost decreased the processing speed of data never increased and hence
loading the large set of data is still a big headache and here comes Hadoop as
the solution for it.
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