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Data & Analytics Consultant (h/f)

Ref 1296344

Geactualiseerd op 18 oktober 2020 via RLS

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Within the Digital Connected Company & Innovation we are focused on delivering solutions that solve problems of our customers to become a more data-driven organization. In order to support our Unit we are looking for Big Data / Analytics consultants. Which are able to implement the End-2-End platform, as data originates in all places in the business and can come from outside partners, clients, public services. The data-driven platform need to capture, manage the quality, integrate and use all the types of data (structured and unstructured) in order to bring value to the business.  As Data & Analytics Consultant you have experience from master data management, over big data, data lakes to data science and machine learning, so both in the more traditional data context and with the new possibilities from big data solutions and Artificial Intelligence. What we expect you to do: You are able to listen to business in a data context, by understanding their challenge and shaping a data solution that brings value. You have experience in different data engineering domains; data ingestions from batch, ETL to streaming sources and processing, cleaning techniques Setting up data management as well as from a technical point of view (the data model, integration, authorization) as from an organization point of view (data stewardship) in order to manage the quality including data lineage, creating golden records, survivorship, ¿ Your have a hands-on background in data platforms (e.g Azure, AWS, Google, Databricks, Boomi, Collibra, ¿) You have experience in different data consumption techniques from a traditional to more advanced analytics and AI perspective. (BI, Power BI, Tableau, PyTorch, TensorFlow, ¿)
  • Informatique / Services informatiques

Hoe solliciteren?

Naam van de werkgever
RLS
Contactpersoon
Mr Belgium Stepstone
Presentatiewijze

postuler via le site Web

Website
http://www.stepstone.be/offres-d-emploi----1824345-inline.html?cid=Partner_ActirisExport
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