Big Data Solutions Architect London & UK

 

 

 

Role Description: 

·         Big Data Solution Architects will be responsible for guiding the full lifecycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment. We are looking for candidates with a broad set of technology skills to be able to design and build robust Big Data solutions for big data problems and learn quickly as the platform grows. The following are key:

·         Minimum of 8 years systems development and implementation experience

·         Minimum of 2 years of hands-on experience with programming on high-scale or distributed systems (such as Hadoop)

·         Minimum of 3 years managing a technical team

·         Ability to support business development activities to shape and communicate proposed solutions to client executives and architects

Experience with at least 4 of the following activities in the context of high-scale or distributed systems:

  • Implementation of ETL applications
  • Implementation of reporting applications
  • Application/implementation of custom analytics
  • Administration of relational databases
  • Data migration from existing data stores
  • Infrastructure and storage design
  • Developing capacity plans for new and existing systems 

Must have

  • 2- 3 years hands-on experience with the Big Data stack (e.g.SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume) including Cloudera/Hortonworks
  • 1-2 years hands-on experience with the No-SQL (e.g. MongoDB, HBase, Cassandra)
  • 3-4 years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)
  • Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica, Talend, Pentaho)
  • Knowledge / Hands-on experience with BI tools and reporting software (e.g. Microstrategy, Cognos, Pentaho)
  • Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout, MLLib)
  • Hands-on experience with "productionalising" Big Data 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, DB2, Oracle)
  • 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)  

Good to have

·         Broad knowledge of core business and processes in Banking and Financial Services, Retail, Pharma, Manufacturing

This is a Consulting role and you could be working at varying location around the UK

 

  • Reference: HQ00003744
  • Location: London
  • Salary: £70,000-£95,000
  • Job Type: Permanent
  • Category: » IT
  • Posted Date: 5/12/2017

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