miércoles, 29 de octubre de 2014

Accenture Australia posted a job you might be interested in October 30, 2014 at 04:04AM



Accenture Australia



Accenture Digital - Big Data Solution Architect – Manager Level - Auckland

Australia, AU - Management Consulting

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.



People in our Client & Market career track drive profitable growth by developing market-relevant insights to increase market share or create new markets. They progress through required promotion into market-facing roles that have a direct impact on sales.



Business and Systems Integration professionals analyze, design and/or develop best practice business changes through technology solutions.



Job Description



Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.



Big Data professionals use Big Data methodologies, solutions and tools to help organizations optimize their business performance by managing, sorting and filtering volumes of data as well as extracting meaningful value from these large volumes of data. Typical responsibilities include:



Big Data experienced professionals will be responsible for guiding the full lifecycle of a Big Data solution, including:



• Working in highly client-facing roles to contribute throughout the end-to-end delivery lifecycle of complex and large-scale technology solutions

• Use case and business case development

• Vendor landscape and technology assessment (covering for example Hadoop, MapReduce, NoSQL etc)

• 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

• Interstate travel may be required



• Deep experience across systems integration, information management, data management and architecture, and business analytics

• Experience with large-scale, multi-release information centric projects

• Delivery experience leveraging multiple delivery locations (onshore + nearshore/offshore)

• Experience with waterfall and agile delivery approaches

• End to end implementation of at least 1 big data project

• Solution architecture development

• Vendor assessment

• TCO assessment versus using conventional IM platforms

• Experience with ideate-prove-industrialise delivery approach

• Deep design experience with programming on high-scale or distributed systems (such as Hadoop)

• Implementation expertise with high performance distributed parallel file system storage technology such as GPFS, GFS, CloudStore, HDFS or similar.

• Implementation expertise with a distributed structured storage technology such as BigTable, Cassandra, • Dynamo, Mongo or similar NoSQL solution.

• Ability to support business development activities to articulate Accenture's Data Platform technical capabilities and help shape and communicate proposed solutions to client executives and architects

• Bachelor’s degree



Preferred Skills:



• Hands-on experience with other technologies in the Hadoop eco-system (e.g. Sqoop, Pig, Hive, Hbase, Flume)

• Experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)

• Previous ETL development experience with tools such as Datastage, Talend, Pentaho etc

• Business Intelligence and reporting software experience (e.g. Microstrategy, Cognos, Pentaho)

• Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)

• Experience "productionalizing" 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.



Professional Skills Requirements:



• Proven ability to build, manage and foster a team-oriented environment

• Demonstrated ability to work with distributed (onshore-offshore) teams

• Proven ability to work creatively and analytically in a problem-solving environment

• Excellent communication (written and oral) and interpersonal skills

• Excellent leadership and management skills



Accenture is committed to creating a diverse and inclusive workplace. All suitably qualified applicants will receive equal and fair consideration for employment.



No salary provided



Posted October 30, 2014 at 04:04AM from LinkedIn http://ift.tt/1tjfsqN

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