Big Data Engineering & Architect Consultant at Accenture Italy

Big Data Engineering & Architect Consultant

Your challenges

As part of our Applied Intelligence practice, you will provide data-driven solutions to help customers address complex business issues.

As part of a highly specialised and multidisciplinary team, you will:

  • Manage Data Management preparation, availability verification, quality, usability, integration, analysis, and presentation
  • Design and analyse data architectures using classical relational and non-relational approaches
  • Monitor and define application patterns by managing processes and identifying opportunities and data platform linking risks
  • Design and implement a data platform structure, coordinating all activities such as data modelling and application tuning in the various integration, storage, and usage components
  • Document functional requirements, detailed systems and project specifications for ongoing and proposed projects
  • Be a reference point for the customer, by continually updating the architectural database, and evaluating products, services or suppliers

Innovation follows a path which you will help design at Accenture. You'll help customers identify goals and achieve them by guiding them through a technological transformation. Find out how your skills can make a difference by making new application solutions into reality – just as our consultants did for

Why we would choose you? The challenges you face reflect your ambitions; this is your chance. To stand out and face them in the best way you have:

  • One to five years’ experience as data engineer or data architect
  • Knowledge of modelling, Rdbms (Oracle, MSSQL, Data storage MAG), nosql (MongoDB, Couchbase, Riak, Azure, Google, Amazon, Neo4) and integrative patterns
  • Expertise in architectural design of data solutions and complex software
  • Experience on Big Data technologies (Hive, Impala, Spark, Cloudera, Scala, Hortonworks, Mongo DB) in ETL and Data Integration (e.g. Informatica, Oracle Data Integrator, Talend, IBM Datastage, etc.).
  • Proven ability to design and build solutions in DWH, Big Data, Data Discovery and Analytics areas
  • A STEM degree (Computer Science, Computer Engineering, Science and Engineering such as Maths, Physics, Bioengineering etc). A PhD will be considered a plus
  • You speak and write English fluently
  • You love to share and learn different things
  • Every day is a new challenge for you and an opportunity to learn something new

Find out how best to prepare for our selection process and discover what is  important to us:

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