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Careers and Job Roles in Big Data – A Comprehensive Guide | Big Data & Analysis Tutorial: Introduction - Software Development PDF Download

1. Objective

This tutorial on Careers and job roles in Big Data will help you in understanding the need of Big Data, the market trend for Big Data, various companies hiring Big Data Professionals from fresher to experienced professionals, different profiles in Big data to grow the career in like Hadoop developer, Hadoop admin, Hadoop architect, Hadoop tester and Big data analyst along with their roles and responsibilities, skills and experience required for different Big Data profiles.


2. Introduction to Careers and job roles in Big data

Huge data is getting generated every second and if gathered all at daily basis, it leads to 2.5 quintillion bytes of data which is being generated every day.

90 % of this data is being generated in just last 2 years which has led to huge explosion of data. You can imagine from the day of its inception till last 2 years, generation of data has contributed only 10 % of the total data available in the planet. So data generation is exponential with time and not linear.

So as we have seen the various sources of data and how much data is getting generated every day, we can conclude that this data is growing at the rate of 40 % compounded annually. If we calculate total data that will be generated by 2020, it comes to around 45 ZB that shows how Big data is growing and would be the most demanding technology in coming years. This would give the Big data professionals a very bright future to work with.

A research by MarketsandMarkets estimates that Hadoop and Big Data Analytics market is anticipated to reach $13.9 billion by the end of 2017.


Hadoop jobs are not only being offered by IT companies but all types of companies are hiring High paid Hadoop candidates including financial firms, retail organizations, banks, healthcare organizations etc. There is huge demand for Hadoop developer jobs and Hadoop administration jobs amongst start-ups that are building Hadoop directly into their business plans. Companies like EMC Corporation, Apple, Facebook, Google, Oracle, Hortonworks, IBM, Microsoft, Cisco, etc. have several Hadoop job openings with various positions like Hadoop Developers, Hadoop Testers, Hadoop Architects and Hadoop Administrators in almost all cities of India with most demand being in Bangalore, Pune, Mumbai, Hyderabad, Chennai, New Delhi and NCR.

One of the most common question being asked is “What are the various jobs available in Hadoop”. Here is a brief overview on the various Hadoop job descriptions.


3. Hadoop Developer

Hadoop developer jobs responsibilities are to write programs as per the system designs and must have fair knowledge about the coding and programming. Task of Hadoop developer is similar to software developer but in Big Data domain. Job of Hadoop developer also includes understanding and working to come up with solutions to problems, designing and architecting along with strong documenting skills.

Hadoop Developer Roles and Responsibilities

  • Defining job flows
  • Managing and Reviewing Hadoop Log Files
  • Cluster Coordination services through Zookeeper
  • Managing Hadoop jobs through scheduler
  • Supporting MapReduce programs running on the Hadoop cluster

Skills Required for Hadoop Developer:

  • Expertise in writing Pig Latin Scripts and HiveQL
  • Proven Knowledge of workflow/ schedulers like Oozie
  • Ability to deal with Data Loading tools like Flume and Sqoop

4. Hadoop Architect

Hadoop architect jobs responsibilities are to design how the system should work and then manage the complete life cycle of a Hadoop solution. He must have subject matter expertise and delivery experience working on popular Hadoop distribution platforms like Cloudera, HortonWorks, and MapR.

Hadoop Architect Roles and Responsibilities

  • Designing the Technical architecture and application customization
  • Undertaking the necessary Requirement analysis
  • Undertaking the deployment of proposed solution design

Skills Required for Hadoop Architect

  • Indepth knowledge about Hadoop Architecture and HDFS including YARN
  • Hive, Pig
  • Java MapReduce
  • HBase

5. Hadoop Administrator

The Hadoop Administration jobs responsibilities are similar to the System administrator job. Hadoop admin roles and responsibilities include setting up Hadoop clusters, backup, recovery and maintenance of the same. Good knowledge of hardware systems and Hadoop architecture is required by Hadoop administrator.

Hadoop admin roles and responsibilities:

  • HDFS maintenance and support
  • Hadoop Clusters planning and screening
  • Tracking of all the connectivity and security issues
  • Setting up new Hadoop users

Skills Required for Hadoop administrator:

  • In-depth knowledge of Hbase
  • Hands on experience in Oozie, HCatalog, Hive
  • Strong scripting skills in Linux environment

6. Hadoop Tester

Hadoop tester jobs responsibilities are to ensure that the process being designed is in sync with the process being required by the organisation. His main role is to find and fix bugs in Hadoop applications.

Hadoop Tester Roles and Responsibilities

  • Main responsibility includes troubleshooting and finding defects in the program and reporting them to Hadoop developer to take corrective action
  • Reporting all the Positive and negative test cases in Hadoop/Pig/Hive components

Skills required for Hadoop Tester

  • Testing Knowledge of JUnit, MRUnit framework
  • Knowledge of Java to test MapReduce Jobs
  • Hands on knowledge of Hive, Pig

7. Hadoop analyst

Hadoop analyst jobs responsibilities are to analyze large amounts of data and bring out insights that could be used by the companies for their betterment.

Hadoop analyst Roles and Responsibilities

  • Developing new insights from the available data using scripting language
  • Doing A/B testing as per different hypotheses to impact different Key Performance Indicators

Skills required for Hadoop Analyst

  • Hands on knowledge of Hive, Pig
  • In depth Flume knowledge and SQL command
The document Careers and Job Roles in Big Data – A Comprehensive Guide | Big Data & Analysis Tutorial: Introduction - Software Development is a part of the Software Development Course Big Data & Analysis Tutorial: Introduction.
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FAQs on Careers and Job Roles in Big Data – A Comprehensive Guide - Big Data & Analysis Tutorial: Introduction - Software Development

1. What are some popular careers in the field of big data?
Ans. Some popular careers in the field of big data include data scientist, data analyst, data engineer, business intelligence analyst, and data architect. These professionals are responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed decisions.
2. What skills are required for a career in big data?
Ans. A career in big data requires a combination of technical and analytical skills. Some essential skills include proficiency in programming languages like Python or R, knowledge of statistical analysis and data visualization tools, experience with database management systems, and a strong understanding of machine learning algorithms.
3. What is the role of a data scientist in big data?
Ans. A data scientist is responsible for analyzing complex datasets to extract meaningful insights. They use statistical techniques and machine learning algorithms to identify patterns, trends, and correlations in the data. Their findings help businesses in making data-driven decisions and developing predictive models.
4. How can I start a career in big data?
Ans. To start a career in big data, you can begin by gaining knowledge in relevant programming languages like Python or R. It is also beneficial to learn about statistical analysis and data visualization tools. Pursuing a degree in computer science, data science, or a related field can provide a solid foundation. Additionally, gaining hands-on experience through internships or projects can help you stand out in the job market.
5. What is the demand for professionals in big data?
Ans. The demand for professionals in big data is high and continues to grow. With the increasing importance of data-driven decision-making, organizations across various industries are seeking skilled individuals who can analyze and interpret large datasets. This high demand offers excellent career opportunities and competitive salaries for professionals in the field of big data.
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