BIG DATA SME/ARCHITECT

  • luxoft
  • London, UK
  • 14/11/2018
Full time Data Science Data Engineering Data Analytics Data Management Statistics Software Engineering

Job Description

Excelian is looking for SMEs in the Data space to assist our clients in designing and architecting solutions which can process analytics and AI/ML workloads across very large data sets. The objective is to deliver best-in-class solutions for our FS clients globally. You will need to be one of the bests technologists out there, but also have an entrepreneurial mindset to work with our Sales and Management teams to build the offering, take it to market and deliver it by continuing to build the team further. You must be highly collaborative, happy to partner and passionate about technology.

Excelian Digital Consulting is a team of energetic, enthusiastic, expert individuals working together to deliver cutting edge software solutions for the financial services industry. You will be instrumental in helping us find, adapt and invent solutions for complex scenarios. You will be involved in solving workflow problems, developing new ways of visualising data, and working out what digital solutions the client needs in their solution that even they don't realise yet

Responsibilities

You will work alongside a strong, global team of individuals with diverse backgrounds and skills in digital consulting to:

Design solutions leveraging Big Data and Cloud-based solutions targeted at data processing
Deliver PoCs for clients
Lead teams to deliver solutions as architect and/or tech lead
Participate in pre-sales to design architectures and formalise solutions tailored to their needs
Engage with the relevant vendors in the space to maintain technology relationships and stay abreast of the latest developments
Produce thought leadership collateral for our magazine www.excelian.com/techspark

Skills

Must have:

  • Strong understanding of the various tech ecosystems in the Data space (Hadoop, NoSQL, data streaming, Cloud-based)
  • Hands-on experience (4y min) with the Hadoop ecosystem
  • Hands-on experience with Cloud-based data processing solutions
  • Experience working in an Agile / DevOps environement and in applying this approach to data-driven solutions
  • Excellent presentation and communication skills, eagerness to engage with clients on solutions with a creative mindset

Desired:

  • Experience with Financial Services workloads
  • Experience with cloud-based data streaming solutions
  • Exposure / experience to AI/ML solutions, patterns and development languages
  • Understanding of data visualisation and patterns / solutions available on the market (Tableau, Clikview, Panopticon)

Languages

  • English: Native