Hadoop Job Profiles With Roles and Salaries for 2019
Big data is a new sun of IT field rising above the horizon. It is making its place in almost each and every field. Hadoop is one of the prominent big data technology. Therefore, the rise in demand for Big Data technology leads to rise in professionals having Hadoop skills. Today people whether fresher or experienced want to tap the opportunity which big data brings. You must be thinking about the ways in which you can build your career in Hadoop. In this blog, we are going to discuss a career in Hadoop. We will look at different Hadoop job profiles with their roles and salaries. At last, we will discuss Hadoop applications in different sectors.
Stay updated with latest technology trends
Join DataFlair on Telegram!!
Hadoop Job Titles and Roles
A hidden secret is there is no prerequisite as such to make a career in Hadoop. You have to work hard and show dedication. There are people who are freshers, veterans from the IT industry and non-IT industries making the career in Hadoop. There can be a lot of struggle between the early stages of the job hunt and offer letter. First, make a choice among the various job roles Hadoop has to offer so that you can strive in the right direction. Let us see what are the various Hadoop job roles:-
1. Big Data Analyst
Big Data Analyst is responsible for using big data analytics and evaluating companies technical performance. And giving recommendations on system enhancement. Their focus is on issues like streaming live data and data migrations. They collaborate with persons like data scientist and data architects. They do so to ensure streamlined implementation of services, profiling source information and setting characteristics. Big Data analyst executes big data processes like parsing, text annotation, filtering enrichment.
2. Big Data Architect
They are responsible for the full life cycle of a Hadoop solution. It includes creating requirement analysis, platform selection, the design of technical architecture. It also encompasses application design and development, testing, the design of the proposed solution. They should know the pros and cons of various technology and platforms. They document use cases, solutions, and recommendations. Big Data need to work creatively and analytically to solve a problem.
3. Data Engineer
They are responsible for Hadoop development, scope and deliver various big data solutions. Their involvement is in designing solutions on high-level architecture. They manage technical communication between vendors and internal systems. They maintain production systems in Kafka, Cassandra, Elasticsearch and so on. Data Engineer builds a cloud-based platform that allows easy development of new applications.
4. Data Scientist
They utilize their analytical, statistical and programming skills to collect and interpret data. Data Scientist then use this information to develop data-driven solutions for difficult business challenges. Data Scientist works with stakeholders throughout the organization. They do so to see how they can leverage company data to drive business solutions. They mine and analyze data from company databases. This is to improvise product development, market techniques, and business strategies.
5. Hadoop Developer
They handle the installation and configuration of Hadoop. Hadoop Developer writes Map-Reduce code for Hadoop clusters. They convert complex technical and functional requirements into detailed design. Hadoop developer performs testing of software prototypes and transfers to the operational team. They maintain data security and privacy. They perform analysis of large datasets and derive insights.
6. Hadoop Tester
Hadoop tester’s job is to troubleshoot and fix bugs in Hadoop applications. He makes sure Map-Reduce job, Pig Latin scripts, and HiveQl scripts work as expected. Hadoop tester builds test cases in Hadoop/Hive/Pig to detect all bugs. He reports defects to development team and manager and drives them to closure. Hadoop tester creates a defect report by consolidating all defects.
7. Hadoop Administrator
Hadoop admin is responsible for setting up a Hadoop cluster, Backup, recovery, and maintenance. He keeps track of Hadoop cluster connectivity and security. He also sets up a new user. Hadoop Administrator does capacity planning and screening of Hadoop cluster job performances. Hadoop Administrator maintains and supports the Hadoop cluster.
8. Hadoop Architect
Hadoop architect plans and designs big data Hadoop architecture. He creates requirement analysis and chooses the platform. He designs technical architecture and application design. His responsibilities include deploying the proposed Hadoop solution.
Salaries for Hadoop Professionals
The average annual pay of Hadoop developer in the United States is $121,243 a year as of March 2019. The annual salaries are as low as $45,500 and as high as $172,000. The majority of the Hadoop developer salary range between $103,000 for 25 percent of the Hadoop developers. And $135,000 for 75 percent of the Hadoop developers across the USA.
Thee Hadoop developer jobs in Mumbai and surrounding area is very active. People working as a Hadoop developer in this area are making an average of $121,234 annually, which is the same as the national average for the US.
|Company Hiring||Average Salary||Salary Range||City||Designation|
|SAP||852,549 INR||600K – 1M INR||Bengaluru||Big data/Hadoop developer|
|Intel||1,062,796 INR||120K – 1.5M INR||Bengaluru||Big Data Engineer|
|CIGNEX Datamatics||36K-106K INR||Ahmedabad||Big Data Developer|
|Amazon||2,761,333 INR||1.9M – 3.62 M INR||Bengaluru||Senior Software Development Engineer|
|Thought Works||770,289 INR||525K – 1.02M INR||Bengaluru||Big Data Engineer|
|McKinsey & Company||211K – 227 K||Bengaluru||Sr. Data Engineer|
|Infogain India Private Ltd.||102,836 INR||1.12M – 1.21M INR||Noida||Hadoop Developer|
|Audience Science||11,92,662 INR||1,13M – 1.26M INR||Pune||Sr. Software Development Engineer|
|Louise Blouin Media||61K – 66K INR||New Delhi||Data Analyst|
|InfoCepts||934,582 INR||120K- 1.29M INR||Nagpur||Big Data Practice Lead|
Hadoop Applications in Various Sectors
Let’s discuss Hadoop Applications in various sectors in detail –
1. Financial sector
Both the volume and value of data collected in the financial sector is increasing day by day. Financial sector uses Hadoop because of its power of analysis and data processing. Banks, insurance companies and security firms rely on Hadoop to store and process huge amounts of data. There are various facets of the financial sector which uses Hadoop.
One of the areas is fraud detection. Financial crimes and data breaches are some of the challenges faced by the industry. Hadoop analytics help detect and prevent internal and external frauds. That too with lower cost on infrastructure. Analyzing point of sale, authorization of transactions helps bank identify and mitigate fraud.
Recommended Reading – Big Data Career Opportunities for Freshers
2. Communication Media & Entertainment
With tons of digital consumers, media entertainment industry is ready to leverage data for profitable customer engagements. There is a lot of potential in data collected by the media and entertainment industry. They can mine this data to understand what content, movies, shows, music consumer like. They can infer the Audience’s interest from various data sources like reviews, clickstreams, log files, history, searches and so on.
Intel published a case study about an entirely new Big Data analytics engine that Caesars Entertainment built. They have used Cloudera Hadoop and a cluster of Xeon E5 servers. The intention of this analytics engine was to support new marketing campaigns. The targets of the campaign were customers with interests beyond traditional gaming, including entertainment, dining and online social gaming. The results of this project have been spectacular. It increased Caesars’ return on marketing programs and dramatically reducing the time to respond to important customer events.
3. Healthcare Providers
Healthcare expenses in the USA now represent 17.6 percent of GDP. Which is nearly $600 billion more than the expected benchmark. McKinsey estimates the impact of applying big data could account for $300 billion to $450 billion in reduced healthcare spending.
A leading healthcare organization that serves more than a hundred million patients collects petabytes of claims and treatment data. It plans to create a new data repository service for its customers to run an expanded set of analytics. MapR is the only Hadoop platform that delivers a volume-based isolated environment with quotas and secure access for the end users.
Surgeons in University of Iowa Hospitals and clinics wanted to know about infections patients are vulnerable to. This was to make a treatment-related decision in the operating room. The solution consisted of merging patient’s historical data with the live patient’s vital signs to prediction the patient’s vulnerability to infections. It provided doctors with real-time predictive decision-making assistance during surgical treatment.
The big data challenges in the education sector include:-
- Data from varied sources.
- Untrained staff and institutions about big data.
- Issues of privacy and data protection.
- One of the challenges faced in the real world is that companies struggle to fill the requirements of talents in their fields. This is because the current education system does not have a curriculum which suits the industry requirement. At many places the syllabus followed is not updated. Using Hadoop the education institutes analyze the jobs which companies post. And get to know recent trends in the industry to design their syllabus accordingly.
5. Manufacturing and Natural Resources
The various big data challenges are:-
- Increase in volume, velocity, and complexity of data due to the rise in natural resources.
- Large volumes of untapped data from the manufacturing industry.
- Underutilization of data prevents improved quality, energy efficiency, reliability, and better profit margins.
- Big Data helps manufacturers in supply-chain management. It provides them the ability to track the location of their products. The system tracks the coordinates of the parcel using bar code scanners and radio frequency emission devices. These devices transmit the location of the product giving the exact location of the parcel.
Don’t Miss – 100 Most Asked Hadoop Interview Questions
If you are reading this Hadoop job article then probably you have some interest in Hadoop or trying to research in this field. Getting in the job as a Hadoop professional has good future career prospects. This is true provided when you have interest in this field. And are ready to upgrade yourself with new big data technologies. Doing good in any field requires dedication and hard work and so is true for Hadoop.
Still, if you have any questions related to Hadoop job and career, feel free to ask in the comment tab.