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Key requirement: Good understanding about developing cloud computing and innovation on Distributed system, experienced in Hadoop framwork (eg Flink Spark, Storm, Kafka etc.)
Client & Opportunity Overview
Our Client's European Research Center (ERC) in Munich is responsible for applied research, advanced technical innovation, architecture evolution design and strategic technical planning. The IT R&D and Big Data group in ERC is looking for Research Engineers and Big Data Experts. The positions are unique in the European hi-tech ecosystem as they offer an opportunity for performing research, architecture design and development in the Big Data distributed systems domain in a corporate setup, while creating a new and agile team.
Design and develop cutting-edge Big Data technologies
Process and analyze large and/or live data sets, while dealing with the 5V's challenges Architect new Big Data -based solutions for pain points of specific markets
Research and patent new innovation in the Big Data and ICT space
Screen and evaluate tools, frameworks and libraries for the implementation of Big Data algorithms
Work with large-scale infrastructures and distributed solutions
Interact closely with cloud and big data architects on identifying limitations of existing solutions and propose solutions and concepts to address them
Interact with Account teams and with Our Client's EU ecosystem for driving Joint Innovation Enter in dialog with open source community and with key EU institutions
Contribute to Our Client Big Data research agenda
MS or PhD in computer science, electrical engineering or other domain-related discipline
Academical/Industrial experience in working with distributed systems
Hands-on experience in working with Hadoop-related frameworks (MR, HDFS, Flink, Spark, Storm,Kafka,HBase,Tachyon, )
Basic understanding of streaming and DB
Basic understanding of cloud computing paradigm and supercomputers
Comfortable communicating in English
Excellent interpersonal skills and team-work spirit and independent working capability
Hands-on and can-do attitude
Stream, Real Time and in-memory processing at large scale
Open source experience and/or contributions
Research experience with good publication record and/or patents in (any of) Algorithms for Big Data, Architecture, Distributed Systems, Parallel Databases, Networking, or Systems.
Experience with distributed computation, in-memory processing, cluster management
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