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Big Data Development Internship in Noida at Vidooly

Big Data Development

Vidooly

Noida

Start Date Duration Stipend Posted On Apply By
Immediately
6 Months ₹8000-12000 /Month 16 Feb'19 1 Mar'19
Full time
 
About Vidooly (http://vidooly.com):
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 plus 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, Xasis, 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. Delivering high-value next-generation products on aggressive deadlines
2. Writing high-quality, highly optimized/high-performance, and maintainable code
2. Working on a distributed/big data system to build, release, and maintain a scalable data processing and reporting platform
3. Working on relational and NoSQL databases
4. Building scalable architectures for data storage, transformation, and analysis
# of Internships available: 2
Skill(s) required: MS-Office and MS-Excel (Learn MS-Excel)
Who can apply:
Only those candidates can apply who:
  1. are available for full time (in-office) internship
  2. can start the internship between 15th Feb'19 and 17th Mar'19
  3. are available for duration of 6 months
  4. have relevant skills and interests
Other requirements:
  1. Knowledge of Hadoop, MapReduce, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS, Redshift, Lambda, etc.
  2. Strong design and programming skills
  3. Fluency with data structures and algorithms
  4. Strong understanding of OOPs concepts
Perks:
Certificate, Informal dress code.

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