Friday, March 22, 2019 16:45

ALTEN Romania

Posted by on Wednesday, October 17, 2018, 17:32
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Short company description

ALTEN Romania, a subsidiary of ALTEN Group – with a unique position as a European Leader in IT Engineering Consulting, was established in 2006 in Bucharest, with the aim to provide technical consulting for the customers of this specific market. Since its inception, the company grew and now has offices in Bucharest, Timisoara, Sibiu and Cluj-Napoca.
Through its team of over 300 specialists in software development, business analysis, business intelligence, PMO, Project Management, testing, technical support, automotive and aerospace engineering, ALTEN Romania is providing specialized services, both on the local and international markets in business sectors such as: aerospace, automotive, finances, pharmaceutics and telecom.
ALTEN Romania has a technical team of consultants and experts in engineering specialized in CATIA V5, NewPDM, SolidWorks, Matlab/Simulink, HIL, Autosar and others, while the IT Division has precise specializations like: Java, .NET, PHP, C#, C++, SIEBEL, Informatica PowerCenter, Cognos, MS BI and Oracle BI, BSCS and more.


• 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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