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Big Data Senior Manager

Job Location: Singapore

Regional Description: Singapore

Job Number: 00518995


- Job description

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.
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:
  • Working in highly client-facing roles to contribute throughout the end-to-end delivery lifecycle of complex and large-scale Big Data 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
Essential Qualifications
  • Deep experience across systems integration, information management, data management and architecture, and business analytics
  • Experience with large-scale, multi-release information centric projects , especially on Datawarehouse, BI transformation initiatives
  • Delivery experience leveraging multiple delivery locations (onshore + nearshore/offshore)
  • Experience with waterfall and agile delivery approaches
  • End to end implementation of at least 1 2-3 big data project using at least 1 of Hadoop, Map Reduce or NoSQL platforms/ distributions
  • Hands on experience with streaming technologies – Storm, Nifi, Kafka, Spark
  • Hands-on experience with ETL technologies – Talend, Pentaho, Informatica
  • Solution architecture development encompassing Hadoop distribution file system, data integration tools, data federation and preparation tools, data visualization solutions
  • Vendor assessment, especially on Hadoop distributions, data integration
  • TCO assessment for big data platform 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)
  • Design experience of data modeling in Hadoop ecosystem
  • Experience on sizing Hadoop clusters
  • 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.
  • Implementation experience of coarse grain and fine grain security on data layer – both for structured and unstructured data
  • 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, Qlik, Tableau Pentaho)
  • Previous experience with data federation and data preparation tools
  • 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
All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development.  You’ll also have opportunities to hone your functional skills and expertise in an area of specialization.  We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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