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Browse Our Top Rated Hadoop Experts


Tonia Data Scientist, Nigeria
$20 /hr
6 Years Exp.
0 Followers
Experienced Data Scientist with over 6 years of work experience in the information technology and services industry. Skilled in Data Analytics, Machin...Read More
Kiran K.html ,hadoop developer, India
$15 /hr
4 Years Exp.
0 Followers
I worked for part-time and for full time.I'm so much interested in google work for home based jobs.
Priyanka Gupta G.Freelancer, India
/hr
0 Years Exp.
0 Followers
I am a freelance academic researcher with a passion for Big Data and Data Science
Mustaqeem U.Big data cloud Engineer, India
$9 /hr
5 Years Exp.
0 Followers
Big Data and cloud engineer with total 5 years of hands-on experience and 2.5 year for relevant experience in designing and deploying scalable applic...Read More
Santosh Big Data Devloper, India
$20 /hr
5 Years Exp.
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Hi , I am big data and java full stack developer having 5 year of experience . I have Build Any Source Using Apache Kakfa and Apache Spark core ob...Read More
Overall 4 years’ of experience in Cloud, Visualization and Bigdata .From starting my career until now I am happy to work with 35 clients in building...Read More
Aviral A.Software Engineer, India
$20 /hr
4 Years Exp.
0 Followers
I am highly proficient coder who has had a chance to work on a variety of technologies throughout my career. I pride myself on delivering projects wit...Read More
Vijay Hadoop administrator, India
$20 /hr
5 Years Exp.
0 Followers
I am into Hadoop administration (Big Data platform Engineer) having experience of 5 years.
Shruti K.developer, India
$17 /hr
6 Years Exp.
0 Followers
I am certified on Big Data and hadoop with core java and big data frameworks
Vikash K.Experienced Hadoop & AWS administrator., United States
$40 /hr
11 Years Exp.
0 Followers
Certified AWS solution architect with many years of hadoop admin and dev ops experience.
Deepak Kumar Workday HCM consultant with time management, India
$10 /hr
7 Years Exp.
0 Followers
I am a workday HCM consultant. I have around 7years of experience. Earlier i was handling SAP HCM and now I integrated to Workday our whole HR system....Read More
Manisha M.Freelance Trainer, India
$34 /hr
3 Years Exp.
0 Followers
I am dedicated to impart knowledge to many Big Data and Data Science enthusiasts. A keen learner with hands on experience in various Big Data tools li...Read More
Datalamp T.Big Data Company, India
$20 /hr
4 Years Exp.
0 Followers
DataLamp A Big Data company, works on data-pipeline & visualization solutions. Expertise- Java: Core, Collection, Swing, Reflection, Thread...Read More
Vipul S.Hadoop and spark developer, India
$9 /hr
3 Years Exp.
0 Followers
I am cloudeta certified spark and hadoop developer with 3+ year experience
Sijo G.Database Architect, India
$20 /hr
11 Years Exp.
0 Followers
Seasoned professional offering a proven track record of successes leading technological integration, handling requirement interpretation, troubleshoo...Read More
Bipin Mobile Application Developer , India
$1 /hr
2 Years Exp.
0 Followers
I am a certified Android app Developer having 2 year of experience. I have created many android apps with substantial features adn I will develop for...Read More
Soufiane M.Big Date Expert, Morocco
$30 /hr
0 Years Exp.
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I am a Ph. D Computer Science student, about to finish my thesis, looking for opportunities in the Big Data field and Scala programming so that I can...Read More
Rajat P.Big Data Developer, India
$6 /hr
3 Years Exp.
0 Followers
I have 3 years of experience in the field of Big Data Hadoop and Spark. I have worked on the below tools and technologies like Hive, pig, Oozie, Sqoop...Read More
Gururaj G.Senior software engineer, India
$3 /hr
5 Years Exp.
0 Followers
Working as hadoop developer
Basant J.Senior Software Engineer, India
$20 /hr
5 Years Exp.
0 Followers
I am a certified Big Data developer having more than 5 years of experience
Arbind Kumar Quality Analyst, India
$15 /hr
3 Years Exp.
0 Followers
I am working as a Quality Analyst in Huawei Telecommunication. I am using hive, spark , scala and Power BI tool to analyse data and extract meaningful...Read More
Balakrishna J.Bigdata Developer, India
$11 /hr
1 Years Exp.
0 Followers
I have 1.6 years of experience in Bigdata Development. I had done two POC, most of the time I have analysed varies kinds of data with different storag...Read More
Sridhar B.Backend Engineer JAVA, India
$20 /hr
0 Years Exp.
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4+ years of Demonstrated Experience and Expertise in building highly Scalable and Maintainable software Products. My Experience Range from B...Read More
Dipesh Data consultant/ Solution Architect, India
$8 /hr
6 Years Exp.
0 Followers
• 6 year of experience as Database developer, Hadoop developer and Hadoop admin. • Comprehensive knowledge of Credit Risk Domain, Trading Domain. •...Read More
Reddi R.Sys Admin, India
$50 /hr
2 Years Exp.
0 Followers
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Articles Related To Hadoop


Applying for a data scientist job can be an intimidating task as there can be many things to take care in an interview process — right from justifying the practical knowledge to showcasing the coding skills. While we have earlier discussed articles on how to crack data science interview and what are the things to keep in mind while appearing for an interview for data science-related roles. This article deals with some of the things that you might be doing wrong if ever you are rejected in a data science interview.

 

Here are five things you may have been doing wrong:

 

Not focusing on the job description: The definition of data science jobs is not always the same and may mean different roles and responsibilities for different companies. Some of the commonly required skills may be a PhD in statistics, Excel skills, machine learning generalist, Hadoop skills, Spark skills, among others. The job description largely varies for every company and it is important to thoroughly dig it and carefully look for specific skills, tools and languages. It is important to display the skills that the potential recruiter is looking for so that they can shortlist you easily.

 

No specific distinction of technical skills: The technical skills in data science and analytics industry is quite wide and not mentioning your strengths correctly might jeopardise your chances of cracking the interview. For instance, it might not be apt to just say machine learning skills as it might include a whole spectrum of things ranging from linear regression to neural networks. And these sub-areas might further require knowledge of specific tools and software such as Python, Keras, R or Pandas. It is always advisable to give specific skills that you master than describing generic skills as might confuse recruiters of the exact skills that you pose.

 

Incorrect information and rephrasing work experience: To suit the data science job roles, many a times candidates rephrase their previous work experiences such as in the IT or software domains to present it as data science job roles, which might disguise your abilities initially but expose the depth and understanding of the skills later. You might have included job description aligning in a way that suits data science job roles but you might not have a deeper experience in it, which may get noticeable by recruiters during a one-to-one interaction. Mentioning of incorrect or misleading facts may also lead to recruiters rejecting you. For instance, the resume may state achieved an accuracy of say 90% on the test run, but what are the baseline and state-of-the-art score for this dataset to claim these numbers?

 

No mention about the projects that you have worked on from the scratch: Many times the only projects that a candidate mention in a resume are the ones they have done on Kaggle. While Kaggle is a platform for a lot of researchers to explore avenues in data science, it also serves as a source of practice for people who aren’t a pro in data science field and are trying to make a transition, mentions a recruiter in one of the forums. There are different kinds of the audience at Kaggle such as those who are playing around with the dataset or getting to know how problem-solving in data science works like, without having actual experience in solving or creating a new data science problems. So, listing just Kaggle project might be good but not definitive of how good your data science skills are. Even if it a Kaggle project, it is better if it is done from scratch. Other than that, it is important to mention the projects that you have worked on. It gives recruiters a chance to understand the problems you faced and the way you approached the problem, thereby giving them a glance at your problem-solving abilities.

 

The resume is full of buzzwords and no concrete proof of your skills: While the resume may suit the job description, but there are chances that you are rejected if there are too many buzzwords in the resume and no concrete way to prove that you actually pose those skills. You may mention in the resume that you have had experience with Hadoop, Excel or certain areas, but if you have showcased it real-time on platforms such as GitHub, it convinces the potential employers of the skills you have. They can look through various projects you have been a part of and see how you have dealt with real data. Hiring managers like to see the time that a candidate has spent from start to finish. Having a portfolio gives recruiters just that. There may be fancy sounding terms in the resume, but if you don’t have a proof to showcase it, you might be rejected for a potential data science job role.

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