Big Data Internship in Noida at Vidooly
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Big Data
Start Date
Starts immediatelyImmediately
6 Months
10000-12000 /month
Apply By
20 Feb' 20
131 applicants
131 applicants
About Vidooly
Vidooly is an online video analytics company based in India. It was launched in November 2014 and currently, more than 50,000 online video creators, 50 multi-channel networks, 50+ multi-platforms, and 20 brands/agencies use its dashboards on a daily basis. Our vision is to build technology that tracks and analyzes every video, everywhere on the planet to make sense of business for content creators, brands & media buyers and at the same time creating a universal video data repository which can be accessed by our customers for better media planning, advertisement & strategies.

Some of our popular customers include GroupM, Xaxis, Mindshare, Tata Housing, OML, Videogyan, History TV India, TVF Qtiyapa, Times Music, and many more. Funded and backed by GVFL, Times Internet & Bessemer Venture Partners, Vidooly is the only online video analytics company in India & South East Asia.
About the internship
Selected intern's day-to-day responsibilities include:

1. Build the data collection, backend data processing and analytic infrastructure that forms the backbone for the platform for video intelligence
2. Work on Hadoop, Spark, Hive, HBase, AWS Lambda and AWS EMR
3. Assist in the design and build state-of-the-art data processing pipelines
4. Utilize continuous integration and test-driven development best practices
5. Design and develop optimized and reliable code to specification
Skill(s) required
Java Python SQL Hadoop
Learn these skills on Internshala Trainings
Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 6th Feb'20 and 7th Mar'20

3. are available for duration of 6 months

4. have relevant skills and interests

Other requirements

1. Must have Python/Java hands-on

2. Understanding of SQL is a must

3. Knowledge of SOAP, REST will be a plus

4. In-depth knowledge of Hadoop, Hive

5. Knowledge of Spark, HBase and practical experience of working with AWS will be a plus

6. Practical experience of AWS Cloud Linux environment and ETL tools will be a plus

7. Should be able to directly communicate with senior business leaders, to embed themselves with business teams and to present solutions to business stakeholders

Certificate Informal dress code
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