October 24, 2015 at 1:37 pm
Comments posted to this topic are about the item The Hot Jobs
October 24, 2015 at 7:53 pm
Ah... those aren't "Hot Jobs". Those are just some of the "high paying" jobs. I don't have time to resurrect the links I've recently come across but I've seen 2 other "Hot Jobs for 2016" articles that only have 1 or 2 of the jobs you mentioned in the article you cited. Interestingly enough, DBA and Database Developer where two of the highest in those two. People that could do both were even higher. And, yes, the salaries are going up by 6 to 8% for those (and virtually all IT) jobs, as well. According to all of the "opportunities" I get offered every week, I could easily increase my salary by 15K-20K USD. When I asked why so much, they said that there really is a talent crunch and that most candidate resumes are either grossly inflated or outright lies as attested to by the rampant on-the-job failures. According to the interviews I've been conducting, they're spot on and the idiots (the people I've interviewed are idiots when it comes to SQL Server) have all said they want 110 to 115K to know nearly nothing. And that's in Michigan. I can't imagine high priced areas such as Connecticut or California.
What's really bad is that job news about such high average salaries like this perpetuate all sorts of problems because now every idiot is going to think they're qualified to do such jobs or just flat out lie more on their resumes.
--Jeff Moden
Change is inevitable... Change for the better is not.
October 26, 2015 at 6:25 am
Yeah, I would say it's the same around my area. I get a lot of calls too, most offering 10K to 20K more than what I currently make. When I ask why me--someone who is still in the early stages of his data career--is being tagged so much--they simply say that talent is thin in the area and what good candidates were available, get picked up quick. There simply is not enough supply for the demand and while the employer is looking for 5 to 10 years experience, will take less for the right candidate who shows growth potential.
Right now, I'm a developer on paper. My boss considers me a data engineer though, but I do everything in between from DBA work to ETL work to creating data frames in Python. My new career alignment and goals are aimed for data architect similar to what's listed on the 15 Hot Jobs link.
When it comes to jobs such as Big Data or even Data Engineers similar to me, I feel there is just not a lot of talent specifically for those roles as well not enough of those roles being offered. A simple search on Indeed finds more jobs relating to traditional RDBMS such as SQL Server over jobs relating to Hadoop, MongoDB, CouchDB, Hive, Impala, HBase, Spark and so forth. For example, Hadoop or NoSQL talent in the area is very limited. Therefore, the amount of pay companies are willing to offer is a lot higher than Database Developer or your traditional DBA.
That may go down over time as more people start getting experience in those technologies IMHO.
October 26, 2015 at 7:20 am
..If you look through the jobs, many are development positions, but there are some good data ones. Data modeler, BI Analyst, Data Architect, Big Data Engineer, and, of course, Data Scientist, are all listed.
..
I notice that DBA isn't listed, though I don't think DBAs are going to disappear anytime soon. However I think the traditional DBA that manages a database like a sysadmin is a job that is morphing. I suspect that DBAs will be asked to do more, either in development or analysis, or they'll be paid less in the future..
Unless an organization is large and diverse, or perhaps a smaller organization that specializes in data analytics (ie: client based consulting), I doubt many of these pure "Big Data" and "Data Scientist" positions are built to last. For the vast majority of organizations, hosting your own dedicated in-house Big Data Developer or Data Scientist makes about as much sense as hosting your own in-house cloud data center. For this to be a true full-time permanent position, I suspect that 80% of the day to day responsibilities would be traditional DBA tasks.
"Do not seek to follow in the footsteps of the wise. Instead, seek what they sought." - Matsuo Basho
October 26, 2015 at 11:07 am
xsevensinzx (10/26/2015)
There simply is not enough supply for the demand and while the employer is looking for 5 to 10 years experience...
My problem has been that I've interviewed plenty of folks with more than 10 years of experience and I'm amazed at how little they actually know.
--Jeff Moden
Change is inevitable... Change for the better is not.
October 26, 2015 at 11:22 am
Eric M Russell (10/26/2015)
..If you look through the jobs, many are development positions, but there are some good data ones. Data modeler, BI Analyst, Data Architect, Big Data Engineer, and, of course, Data Scientist, are all listed.
..
I notice that DBA isn't listed, though I don't think DBAs are going to disappear anytime soon. However I think the traditional DBA that manages a database like a sysadmin is a job that is morphing. I suspect that DBAs will be asked to do more, either in development or analysis, or they'll be paid less in the future..
Unless an organization is large and diverse, or perhaps a smaller organization that specializes in data analytics (ie: client based consulting), I doubt many of these pure "Big Data" and "Data Scientist" positions are built to last. For the vast majority of organizations, hosting your own dedicated in-house Big Data Developer or Data Scientist makes about as much sense as hosting your own in-house cloud data center. For this to be a true full-time permanent position, I suspect that 80% of the day to day responsibilities would be traditional DBA tasks.
What do you mean? Data Scientist positions are typically involving a lot of complex areas that's outside the DBA's scope. All the DBA can do is ingest, provide and secure the data and the infrastructure. In terms of developing and running complex algorithms on the data, there is not much a DBA can do in those areas nor evolve them in advance statistical models nor maintain them over time.
October 26, 2015 at 2:14 pm
xsevensinzx (10/26/2015)
Eric M Russell (10/26/2015)
..If you look through the jobs, many are development positions, but there are some good data ones. Data modeler, BI Analyst, Data Architect, Big Data Engineer, and, of course, Data Scientist, are all listed.
..
I notice that DBA isn't listed, though I don't think DBAs are going to disappear anytime soon. However I think the traditional DBA that manages a database like a sysadmin is a job that is morphing. I suspect that DBAs will be asked to do more, either in development or analysis, or they'll be paid less in the future..
Unless an organization is large and diverse, or perhaps a smaller organization that specializes in data analytics (ie: client based consulting), I doubt many of these pure "Big Data" and "Data Scientist" positions are built to last. For the vast majority of organizations, hosting your own dedicated in-house Big Data Developer or Data Scientist makes about as much sense as hosting your own in-house cloud data center. For this to be a true full-time permanent position, I suspect that 80% of the day to day responsibilities would be traditional DBA tasks.
What do you mean? Data Scientist positions are typically involving a lot of complex areas that's outside the DBA's scope. All the DBA can do is ingest, provide and secure the data and the infrastructure. In terms of developing and running complex algorithms on the data, there is not much a DBA can do in those areas nor evolve them in advance statistical models nor maintain them over time.
As databases move to the cloud, database administrators will branch out into other related areas, like developing and running complex algorithms. Anyone with a background in database technology, a grasp of 200 level basic statistics, sufficient time on their hands, and a subscription to Safari Books Online can do "data science" on a practical commercial level.
"Do not seek to follow in the footsteps of the wise. Instead, seek what they sought." - Matsuo Basho
October 26, 2015 at 2:47 pm
Eric M Russell (10/26/2015)
xsevensinzx (10/26/2015)
Eric M Russell (10/26/2015)
..If you look through the jobs, many are development positions, but there are some good data ones. Data modeler, BI Analyst, Data Architect, Big Data Engineer, and, of course, Data Scientist, are all listed.
..
I notice that DBA isn't listed, though I don't think DBAs are going to disappear anytime soon. However I think the traditional DBA that manages a database like a sysadmin is a job that is morphing. I suspect that DBAs will be asked to do more, either in development or analysis, or they'll be paid less in the future..
Unless an organization is large and diverse, or perhaps a smaller organization that specializes in data analytics (ie: client based consulting), I doubt many of these pure "Big Data" and "Data Scientist" positions are built to last. For the vast majority of organizations, hosting your own dedicated in-house Big Data Developer or Data Scientist makes about as much sense as hosting your own in-house cloud data center. For this to be a true full-time permanent position, I suspect that 80% of the day to day responsibilities would be traditional DBA tasks.
What do you mean? Data Scientist positions are typically involving a lot of complex areas that's outside the DBA's scope. All the DBA can do is ingest, provide and secure the data and the infrastructure. In terms of developing and running complex algorithms on the data, there is not much a DBA can do in those areas nor evolve them in advance statistical models nor maintain them over time.
As databases move to the cloud, database administrators will branch out into other related areas, like developing and running complex algorithms. Anyone with a background in database technology, a grasp of 200 level basic statistics, sufficient time on their hands, and a subscription to Safari Books Online can do "data science" on a practical commercial level.
I agree. Anyone with a background in data can leverage their knowledge into other data related fields. But, let's be honest here. Statistics, probability, predictive analytics, regression modeling and so forth are not something you just pick up over night nor an area where someone is going to trust their 1 million dollar budget in your hands to forecast for the next financial quarter.
It takes a real set of qualifications and skills to fill those roles and have someone in there that understands what they are doing. If you wouldn't hire a DBA with 10 years of experience who really didn't know much about SQL Server, why in the world would you hire someone to do the same with 0 years of experience on analyst side of things simply because they can manage a RDBMS? Especially if what you're doing with data science involves real money? You really can't compare DBA's to Data Scientist in that way. Two totally different disciplines with data.
Sorry if I sound a bit sensitive on the topic. Sounded like you're saying that anyone can do it and it's a irrelevant field. I work with a bunch of data scientist who are very much on another level with the data that I have yet to see any DBA touch. 😛
October 26, 2015 at 3:32 pm
FYI Steve: this is a better link to the article:
http://www.informationweek.com/it-life/15-hottest-it-jobs-for-2016/d/d-id/1322321
What you posted is that link with "?image_number=1" at the end. That's the "first page of the list" and there is no article below. The link I just posted includes the article as well as a link to the report where they get this info.
-- Itzik Ben-Gan 2001
October 26, 2015 at 7:51 pm
xsevensinzx (10/26/2015)
Eric M Russell (10/26/2015)
..If you look through the jobs, many are development positions, but there are some good data ones. Data modeler, BI Analyst, Data Architect, Big Data Engineer, and, of course, Data Scientist, are all listed.
..
I notice that DBA isn't listed, though I don't think DBAs are going to disappear anytime soon. However I think the traditional DBA that manages a database like a sysadmin is a job that is morphing. I suspect that DBAs will be asked to do more, either in development or analysis, or they'll be paid less in the future..
Unless an organization is large and diverse, or perhaps a smaller organization that specializes in data analytics (ie: client based consulting), I doubt many of these pure "Big Data" and "Data Scientist" positions are built to last. For the vast majority of organizations, hosting your own dedicated in-house Big Data Developer or Data Scientist makes about as much sense as hosting your own in-house cloud data center. For this to be a true full-time permanent position, I suspect that 80% of the day to day responsibilities would be traditional DBA tasks.
What do you mean? Data Scientist positions are typically involving a lot of complex areas that's outside the DBA's scope. All the DBA can do is ingest, provide and secure the data and the infrastructure. In terms of developing and running complex algorithms on the data, there is not much a DBA can do in those areas nor evolve them in advance statistical models nor maintain them over time.
Being a DBA that regularly comes up with such complex algorithms on a regular basis and can explain such complexities so that even previously unaware neophytes can actually understand them, you'll have to understand when I say I take strong exception to that. 😉
--Jeff Moden
Change is inevitable... Change for the better is not.
October 26, 2015 at 8:42 pm
Jeff Moden (10/26/2015)
xsevensinzx (10/26/2015)
Eric M Russell (10/26/2015)
..If you look through the jobs, many are development positions, but there are some good data ones. Data modeler, BI Analyst, Data Architect, Big Data Engineer, and, of course, Data Scientist, are all listed.
..
I notice that DBA isn't listed, though I don't think DBAs are going to disappear anytime soon. However I think the traditional DBA that manages a database like a sysadmin is a job that is morphing. I suspect that DBAs will be asked to do more, either in development or analysis, or they'll be paid less in the future..
Unless an organization is large and diverse, or perhaps a smaller organization that specializes in data analytics (ie: client based consulting), I doubt many of these pure "Big Data" and "Data Scientist" positions are built to last. For the vast majority of organizations, hosting your own dedicated in-house Big Data Developer or Data Scientist makes about as much sense as hosting your own in-house cloud data center. For this to be a true full-time permanent position, I suspect that 80% of the day to day responsibilities would be traditional DBA tasks.
What do you mean? Data Scientist positions are typically involving a lot of complex areas that's outside the DBA's scope. All the DBA can do is ingest, provide and secure the data and the infrastructure. In terms of developing and running complex algorithms on the data, there is not much a DBA can do in those areas nor evolve them in advance statistical models nor maintain them over time.
Being a DBA that regularly comes up with such complex algorithms on a regular basis and can explain such complexities so that even previously unaware neophytes can actually understand them, you'll have to understand when I say I take strong exception to that. 😉
Hah, guess I walked into that one. I'm sure you have written linear regression in SQL and then some Jeff. :w00t:
But, what I'm trying to say here is that you can't possibly just toss data science and statistics aside as if there is no true discipline there. Like as if because you have a DBA then all your statistical modeling, predictive analytics and forecasting problems are solved. The same goes for the other end. Working in data science does not mean all your DBA problems are solved either.
October 26, 2015 at 8:44 pm
I work with DBA's who are asked to do data scientist work. People does not understand the difference of this disciplines. Some of them have more than 10 years of experience, that does not means that they know how to get knowledge from data, because that is not their "business".
On the other hand, people sometimes does not know what they need for their company and hire DBAs with a Data Scientist salary. I see some kind of confusion related this terms.
Anyway, talking about the hot list jobs... I really would like that be true, data is becoming the key for several companies.
October 26, 2015 at 8:49 pm
tguerrerovl (10/26/2015)
I work with DBA's who are asked to do data scientist work. People does not understand the difference of this disciplines. Some of them have more than 10 years of experience, that does not means that they know how to get knowledge from data, because that is not their "business".On the other hand, people sometimes does not know what they need for their company and hire DBAs with a Data Scientist salary. I see some kind of confusion related this terms.
Anyway, talking about the hot list jobs... I really would like that be true, data is becoming the key for several companies.
Yep. It's pretty similar to anyone working in development or technology is automatically assumed to be IT support.
But, it's true, it's good to see data on the rise. So, I dono why I'm bickering! :hehe:
October 26, 2015 at 11:29 pm
I really enjoyed this article... a good understanding of what we are talking about:
😛
October 27, 2015 at 5:01 am
I pay little attention to these lists as they often highlight niche skills that are becoming more commonplace or being rolled into other roles over time.
Gaz
-- Stop your grinnin' and drop your linen...they're everywhere!!!
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