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Top 27 Hadoop Freelancers on 18 Aug 2019 on Toogit. Hadoop Freelancers on Toogit are highly skilled and talented. Hiring Hadoop Freelancers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Hadoop Freelancers on Toogit. Hiring Hadoop Freelancers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Abdurrahman A.Data Engineer, Nigeria
$35 /hr
15 Years Exp.
0 Followers
I am a veteran software engineer with 17+ experience and currently working more as a data engineer and data science. I love cycling and travelling.
Atul Software development engineer in Test, India
$9 /hr
8 Years Exp.
0 Followers
Iam working as full stack Automation engineer,that is UI automation, backend automation like API, microservices, database using Spring, springboot,jav...Read More
I am software Testing Professional having more than 15 years of experience across various big CMMi level 5 companies and worked on multiple domains li...Read More
Mark N.Data Scientist/Big Data Engineer/Oracle Developer, Kenya
$58 /hr
8 Years Exp.
0 Followers
Am a big data engineer with wide experience in python and python libraries for machine learning and data visualization.Am an experienced R developer....Read More
Deval P.Hadoop|Tableau Developer, India
$36 /hr
2 Years Exp.
0 Followers
An intelligent, dynamic and focused Hadoop and Tableau Professional. Working as a Team Leader supervising and managing a group of 5 employees. Strong...Read More
Microspan S.MicroSpan Solutions, India
$30 /hr
20 Years Exp.
0 Followers
MicroSpan Solutions is a Software Development Company and providing Architecture Solution to global clients including USA, Gulf Countries, Australia,E...Read More
Ronak Pahadia Business Analyst, India
$9 /hr
2 Years Exp.
0 Followers
Hi, I am Ronak Pahadia, a freelancer from Mumbai IN, I have a team of software enthusiast who have completed various projects on web development, Big...Read More
Venkata Independent Software Developer / Consultant, India
$20 /hr
13 Years Exp.
0 Followers
Java, Big Data Developer and DevOps Engineer with 13 years of experience. Building reliable and scalable solutions for large scale applications using...Read More
Sachin Senior Java Developer, India
$20 /hr
5 Years Exp.
0 Followers
I am a Java developer having strong 5 Years of experience mostly in hardcore backend developement. in the span of 5 years i have worked on multiple p...Read More
Vipin Java developer, India
$9 /hr
6 Years Exp.
0 Followers
Having 6 years of experience in software industry and have worked on number of project from small level to enterprises one. Currently working in a pay...Read More
Aditya Data Engineer/BackEnd Engineer, India
$9 /hr
1 Years Exp.
0 Followers
I am certified Cloudera Spark and Hadoop (CCA 175) and also have AWS Developer Associate. I started my career in start-up where i have a hands-on exp...Read More
Tanushri IT Professional, India
/hr
0 Years Exp.
0 Followers
I am IT professional and have work experience in multiple technologies like .net, sql, hadoop, big data. Willing to take new challenges and would lik...Read More
Ashish Software Engineer, South Korea
$30 /hr
5 Years Exp.
0 Followers
I am Java J2EE Big data developer with experience in Microservice architecture and distributed frameworks such as Hadoop, Spark
Sabyasachi C.Software Developer, India
$10 /hr
15 Years Exp.
0 Followers
I am M.Tech(CSE),M.Sc(CS) and MBA(Systems) with 15 years of experience in Academics and Software Development
Khushboo Arora Business analyst, India
$9 /hr
1 Years Exp.
0 Followers
I am a highly motivated and eager data enthusiast . I have recently completed my post graduation in Big Data Analytics, (M.Sc Big data analytics ) and...Read More
Dhawal Big Data and Spark Developer , India
$7 /hr
6 Years Exp.
0 Followers
I have a total experience of 6.5 years in IT and during this tenure, I have worked on SQL and Big Data(acquisition, processing, and analytics) technol...Read More
Mahikshit Pandey Data Scientist, India
$10 /hr
0 Years Exp.
0 Followers
Experienced data scientist with good presentation and interpersonal skills, seeking to apply a thorough understanding of advanced mathematical concept...Read More
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.
0 Followers
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
Pallavi R.Digital Analyst, India
$26 /hr
4 Years Exp.
0 Followers
I am working as a Digital analyst in one of the renowned US based fmcg. On Daily basis I deal with millions of consumer data and analyse data to get m...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.
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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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