Data Engineer-Big Data-Azure

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
Understand emerging and evolving end user use cases and requirements in Big Data-Azure documenting those usage cases and business technical and user requirements and designing a solutions architecture to meet those requirements.
Define and Document the Big Data architectures and solution requirements specifying the implementation HW and SW solution stack.
Define end user proofs of concept to test the architectures use case and corresponding technologies in testbed or real end user environments.
Play both a consultative role to design and deliver proven quality solutions
All architectural alignment tasks during the lifecycle of the project and ensuring that they align with information standards and Enterprise Models
Support the Program Manager in determining the skill sets and level of effort required to design a program project and applications to meet business requirements
Select the appropriate analytical architecture to fulfill the program or project’s analytical requirements
Review and approve various artifacts ensuring enforcement of standard enterprise data element names abbreviations characteristics and domain during the lifecycle of the project/program

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Required Technical and Professional Expertise
-Bachelor’s Degree and at least 3 years experience
-Substantial expertise in Advanced Analytics technologies & solutions (incl. SPSS SAS R Tableau Qlikview)
Proven practical expertise in Big Data projects using Hadoop Ecosystem NoSQL or Cloud Data Management technologies
-Experience in /as data engineer in Big Data-Azure
-Excellent communication skills (English & Mandarin)

Preferred Technical and Professional Expertise
– Strong problem solving attitude and proactive behavior to growth
-Proven ability as a Team Leader with responsibility of defining customer needs and designing client’s solutions
Experience in big data architecture – experience of designing and developing logical data models or knowledge of cognitive computing