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Big Data Consultant

Location Hong Kong, Hong Kong
Posted 28-August-2018
Description
Big Data Consultant
[Description] Responsibilities:

Big Data experienced professionals will be responsible for guiding the full lifecycle of a Big Data solution, including:
Use case and business case development
Vendor landscape and technology assessment (covering for example Hadoop, Map Reduce, NoSQL)
Solution architecture formulation (including role of conventional information management platforms)
Proof of concept execution to prove the value of Big Data use cases
Full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment
Assess emerging trends in storage access which includes the application of existing high performance distributed file system storage technologies for use by applications in lieu to traditional relational database storage methods
We are looking for candidates with a broad set of technology skills to provide thought leadership, solution architecture and implementation experience for robust Big Data solutions for big data opportunities, and to grow big data skills and capabilities.
Qualifications

Deep experience across systems integration, information management, data management and architecture, and business analytics
Experience with large-scale, multi-release information centric projects
Experience with waterfall and agile delivery approaches
End to end implementation of at least 1 big data project using at least 1 of Hadoop, Map Reduce, NoSQL platforms
Solution architecture development
Vendor assessment
TCO assessment versus using conventional IM platforms
Deep design experience on high-scale or distributed systems (such as Hadoop)
Implementation expertise with high performance distributed parallel file system storage technology such HDFS or similar.
Implementation expertise with a distributed structured storage technology such as BigTable, Cassandra, Dynamo, Mongo or similar NoSQL solution.
Deep experience with the Implementation of ETL, reporting, business intelligence technologies and high volume batch processing involving large data stores
Design and implementation of a medium to large custom application data model
Ability to support business development activities
Preferred Skills:

Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, Hbase, Flume)
Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
Hands-on experience with "productionalising" Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)
Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores)
Professional Skills Requirements:

Self-starter, with a keen interest in technology and highly motivated towards success
Must be proactive and be prepared to address meetings
Must show initiative and desire to learn business subjects
Able to work independently and provide updates to management
Strong analytical and problem solving capabilities
Excellent problem solving skills; proven teamwork and communication skills
Ideally, educated to degree level
Excellent leadership, communication (written and oral) and interpersonal skills
Fluent in English / Mandarin / Cantonese
Salary details
USD 40000.00

 
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