Monday 18 April 2016

DataMetica Off Campus Drive | Freshers | 2016 Batch | 4.2 LPA | BE / BTech | Pune

About The Company :

2016 Batch, Across India, Elitmus, Freshers, Off Campus Drive,
DataMetica is one of the world's foremost Big Data analytics companies that helps organizations deal with titanic amounts of data and take strategic decisions impacting business growth. It is  young and vibrant with a focus on being the market leaders in Big Data and Analytics space. It is focused on helping organizations drive maximum value from their growing Information assets. The company was founded in 2013 by professionals with extensive expertise in uniting Data Science and Business Acumen.

DataMetica brings extensive technology experience in the delivery of large-scale Big Data Solutions to overcome the challenge of explosive growth of data volume and complexity.  With a laser sharp focus on technology, DataMetica solves complex problems for its vast network of Fortune 500 clients using NextGen technologies.

They are also investing in a number of ‘first-of-its-kind’ Products to target niche markets for distinguished produce. Their extremely fast paced growth rate is evident of their unmatched products and seamless global delivery.

Company Name: DataMetica Solutions Private Limited

Company Website: www.datametica.com

Position: Engineer - Big Data

Job Location: Pune

Experience Required: Freshers

Salary Offered: Rs.420000/- (20,000 per month will be the stipend during the 6-month training period after which salary will go up to 35,000 per month. Emoluments will not be a constraint for Tier 1 engineering candidates)

Eligibility Criteria:
  • 2016 batch BE/BTech (All Branches)
  • Minimum 60% aggregate in graduation
  • Good pH score
Last Date to Apply: Saturday, 30 Apr, 2016

Requirement:
  • DataMetica is looking for dynamic workforce who are ready to take forthcoming new age challenges in technology.
  • We work on Big Data, Data Science, Information Analytics and related technologies like Hadoop, JAVA, NoSQL.

Apply Link: Click here

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