Go ‘Big’ with the knowledge of data, data sciences and strong business acumen: Delhi Event

The various dimensions of Big Data were explored at a recent ‘TechGig.com Conversations’, in order to understand the talent requirements in the Big Data domain. 

Big Data is the latest buzzword in the technology sector and there is a lot of noise around this. However, along with this noise, there is also a lot of confusion and lack of clarity in the minds of people who want to utilise this technology as well as students and jobseekers, who aspire to gain expertise in this domain. Big Data needs a new breed of professionals with a deep and applicative domain expertise and machine learning. In an endeavor to eradicate this confusion and bring forth some clarity regarding Big Data, TechGig.com invited industry leaders and technology visionaries to ‘TechGig.com Conversations’, in order to explore the various dimensions of Big Data and understand their talent requirements.

The panelists were Gautam Shroff, Vice President and Chief Scientist, TCS Innovation Labs Delhi, Manish Choudhary, VP R&D & India Operations, Pitney Bowes India, Avirag Jain, EVP & CTO, R Systems, Aditya Khandekar, General Manager Analytics Advisory Services, Fiserv, Vivek Manu, Director Program Management, GlobalLogic and Suhale Kapoor, EVP & Co founder, AbsolutData Research & Analytics.

Talking about their skill requirements, Manish Choudhary, VP R&D & India Operations, Pitney Bowes India, stated that there are two types of skills that are required; one being the core skills and the other is applied skills. Core skills are the technical skills that require deep domain expertise, whereas, applied skills is about understanding the business and ability to utilise technology for the benefit of the business. A blend of both these skills is required in order to succeed.

Avirag Jain, EVP & CTO, R Systems, believes that there is a large amount of data lying unused in various servers across the globe. This data has a lot of value and it is absolutely essential to analyse and use it effectively.

Vivek Manu, Director Program Management, GlobalLogic, highlighted three key profiles of people who play an important role in the Big Data domain:

1. Data business people – these people understand what kind of data is essential for business. They require domain expertise as well as strong business acumen. These profiles are domain specific, for example; a person from telecom domain cannot do justice to the same profile in the healthcare sector.

2. Data researchers/Data scientists – these people would analyse the data properly and use it effectively. They are basically PhDs and scientists.

3. Data engineers – these people are the ones who work on the ground level and who know the basic technology to sift through oodles of data and capture the specific data that is required. They have to be technically very sound to perfect this process.

These three different profiles require three different skill sets. Manu believes that for any Big Data organisation to function properly, all these three profiles should coordinate and function together.

Talking about the talent sourcing challenges, Suhale Kapoor, EVP & Co founder, AbsolutData Research & Analytics, stated that it is most challenging to source candidates for middle level profiles. At the entry level, there is not much struggle as they just hire the candidates who are sharp and have a good attitude and then train them. But, at the middle level, there is a large vacuum as these candidates are not well exposed to the latest technologies and it’s not feasible to provide them basic training again. He believes that the solution lies in coming up with special workshops to train them.

According to Aditya Khandekar, General Manager Analytics Advisory Services, Fiserv, the main challenge is that the Big Data technology is being taught in terms of programming languages. There are three sides of Big Data; data, technology and statistics. He believes that the technology side of Big Data is still at a very nascent stage. He suggested that candidates should not just tag themselves with all the technology related buzzwords. Instead of learning many programming languages, they should just focus on one language and go deep into it. Deep understanding of a language would help them build systems around it.

Gautam Shroff, Vice President and Chief Scientist, TCS Innovation Labs Delhi, averred that there are three key areas in any Big Data team; data and data science are two of them. There are people who understand data and there are people who understand data science, and the people who understand both these domains, have the potential to make an organisation successful. The third key area is strategy perspective.

He believes that it is essential for students to do their courses from top institutions because these institutes know where the technology is moving and they inculcate that into their course structure. From an employer perspective, employing these students from top institutes would be greatly beneficial because, these candidates can enlighten you about technology of the future.

He also highlighted the fact that real time screening or real time analysis/decisioning and evolving data for the same, is the ‘in’ thing at present. People who are experts in this area are very much in demand and students should focus on this area in order to enhance their employability.

There are a number of tech related buzzwords that attract a large number of students and job seekers. Taking up random courses on these and putting it on ones resume does no good. Students need to make a choice on which domain they will pursue. Once the choice is made, in depth domain knowledge, strong business acumen and a strategy perspective would help you strike gold in the world of Big Data.

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