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 https://www.accenture.com/it-it/success-credit-agricole-italia-smart-pricing?src=LINKEDINJP
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: https://www.accenture.com/it-it/careers/recruiting-faq-answers
For further information, visit our website: professioni.accenture.it
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Accenture is an equal opportunities employer