Big Data Consultant
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Employer: | ALTEN Romania |
Domain: |
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Job type: | full-time |
Job level: | 1 - 5 years of experience |
Location: |
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Updated at: | 09.04.2019 |
Remote work: | On-site |
ALTEN Romania, part of the international ALTEN Group - with a unique position as Leader in IT & Engineering Consulting, provides support for its clients’ development strategies in the fields of innovation, R&D and IT systems since 1996. The company comprises 2 divisions specialized on its core capabilities: ENGINEERING and IT. These two divisions are: ALTEN TECHNO and ALTEN IT.
Requirements
• Expertise in big data cloud architecture based on managed services or IAAS
• Depth knowledge of AWS Managed Services
• Depth knowledge of IAAS infrastructure manipulation on AWS
• Depth knowledge of deployment automation solutions
• Knowledge of the general big data ecosystem and the positioning of technologies
• Knowledge of different big data patterns
• Expertise in the implementation of end-to-end big data architecture (ingestion / treatment / learning / exhibition of services)
• Experience with No-SQL databases (column-oriented, key-value, graph) and SQL
• Strong problem solving, intelligence, initiative and ability to withstand pressure
• Excellent interpersonal skills and great sense of communication (ability to go into detail)
• Fluent in English (verbal and written)
• French are highly appreciated
• During project definition
- Analysis (actors, flows, volumes, frequencies, types, security, ...)
- Identification of the data capacity necessary to support the uses
- Design of the adapted architecture (scalability, resilience, performance ...)
- Identification of technologies adapted to constraints
- Complexity management (roadmap)
- Design of adapted test methods
- Capitalization on past product architectures
• During the iterative realization phase
- Participation in the implementation of innovative cloud solution
- Strong implication on the validation of the capacities of the solution
- Contribution and advice on all architectural problems
• During integration and deployment:
• Contribution to upcoming product architectures
• Participation in problem solving
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