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Big Data Solutions Architect with Hadopp background

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Gmail - SW Arch Hadoop

We are looking Big Data Solutions Architect with Hadopp background.

Our ideal candidate will possess skills that make them a subject
matter expert in various big data technologies and data science. These
roles will entail architecture analysis, design, client management,
and other skills.

Development of proposals for implementation and design of scalable big
data architecture;
Participation in customer’s workshops and presentation of the proposed solution;
Design, implement, and deploy high-performance, custom applications at
scale on Hadoop;
Define and develop network infrastructure solutions to enable partners
and clients to scale NoSQL and relational database architecture for
growing demands and traffic;
Define common business and development processes, platform and tools
usage for data acquisition, storage, transformation, and analysis;
Develop roadmaps and implementation strategy around data science
initiatives including recommendation engines, predictive modeling, and
machine learning;
Review and audit of existing solution, design and system architecture;
Perform profiling, troubleshooting of existing solutions;
Create technical documentation.

Strong knowledge of programming and scripting languages such as Java,
Python, Ruby, or R;
Experience with major big data technologies and frameworks including
but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout,
Flume, ZooKeeper, MongoDB, and Cassandra;
Experience with big data solutions developed in large cloud computing
infrastructures such as Amazon Web Services, Elastic MapReduce or
Pivotal Cloud Foundry is a plus;
Experience in client-driven large-scale implementation projects;
Data Science and Analytics experience is a plus (Machine Learning,
Recommendation Engines, Search Personalization);
Technical team leading and team management experience, deep
understanding of Agile (Scrum), RUP programming process;
Strong experience in applications design, development and maintenance;
Solid knowledge of design patterns and refactoring concepts;
Practical expertise in performance tuning and optimization, bottleneck
problems analysis;
Solid technical expertise & troubleshooting skills;
Possess expertise in Object-Oriented Analysis and Design;

Location: Kiev

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Project published
3 January 2016
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