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Big Data is a buzzword in the IT industry – This has been reiterated over and over again and we are still talking about Big Data since this is phenomena that has changed our lives.
Big Data has been on the rise ever since organizations have realized the importance of data insights to become successful. This rise in big data has compelled companies and organizations, both big and small to desperately start looking out for IT professionals to help them maintain and monitor their databases. Well, this is not restricted to just the IT industry. The ripple effect of the waves created by Big Data has gone beyond the web or software companies to industries like retail, health care, financial institutes, transportation and so on.
Wikibon, a technology and research based open-source community in its “Big Data Vendor Revenue and Market Forecast 2012-2017” has reported that professional services is the largest revenue-producing segment of the Big Data market and by 2017, Big Data professional services are expected to generate $15.4 billion or about one-third of the $47.8 billion in total Big Data revenue.
When talking about Big Data, the immediate term that pops up in our mind is Hadoop and NoSQL. They are without an iota of doubt, the most popular and reliable technologies. Major corporations are adopting Hadoop and NoSQl and are now looking for professionals with the right skills in these technologies. Web moguls like Facebook, Google, Amazon.com, IBM and many others have already employed Hadoop to run their distributed computations.
Let’s talk numbers!
With the skyrocketing demand for skilled Hadoop and NoSQL professionals, companies are ready to pay competitive salaries to hire candidates with the right skills. Alice Hill, managing director of Dice, tells Data Informed, that the postings for Hadoop jobs has gone up by 64%, compared to last year. And that Hadoop is the leader in the Big Data category for job postings. According to Dice, Hadoop pros made an average of $115,000 in 2012, which is slightly above the $113,000 average for all Big Data jobs. While NoSQL pros made around $113,000 as well. Learn more about Big Data and its applications from the Azure Data Engineer Course.
Now, this is a number one can’t ignore!
These figures are a clear proof that Hadoop and NoSQL jobs are in high demand. And, the best aspect of a data management career is that these jobs are recession-proof and unlikely to decline with the never ending data flow that organizations need to mine.
Let’s look at some of the popular job profiles that require Hadoop and NoSQL skills
DBA (Database Administrator):
DBAs are in great demand now with their average salary at $81,000 per annum (as reported by Indeed). Companies are hiring DBAs with experience in handling variety of database platforms. DBAs with expertise in MongoDB, Cassandra, and Oracle etc. are preferred and experienced DBAs earn up to $100,000 on an average.
Data Architect:
This profile requires professionals to have experience in data modeling, warehousing, data analyzing and data migration. A Data Architect draws an average salary of $107,000 per annum.
Data Scientist:
A Data scientist is loaded with a variety of data driven skills. He is an expert in data capture, data analysis, presenting the analyzed data visually and using it to make predictions/forecasts. Data scientists are currently in high demand, with an average salary of $104,000 and the demand will continue to increase.
Systems Engineer:
‘System Engineer’ is a broad profile that branches to several other positions such as software development, data warehousing and some DBA work. System engineers are also paid a handsome remuneration of $89,000.
Software/Application Developer:
Software development is high for people looking out for a career in Hadoop and NoSQL. People with these skills can do a multiple things from freelance work to setting up their own startup. Software developers make an average salary of $107,000 and application developers make $93,000, as they have both database and programming skills.
If you also want to learn Big data and make your career in it then I would suggest you must take up the following Big Data Architect Masters Program.
Got a question for us? Please mention them in the comments section and we will get back to you.
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