Data Modeler (Teradata, Hadoop, ETL, DataStage)
Randstad Romania
Bucureşti
‎în urmă cu 5 ore
source : Jobber

Key tasks and responsibilities

Supporting modelling activities for the Finance and Risk DWH Data Model and Big Data

Being involved in the definition and build the strategic data architecture for Finance and Risk DWH and Big Data environment

Designing and developing new projects and enhancements for Finance and Risk DWH and Big Data systems with respect to data.

Being involved in Data model reviews and reviews of functional documentation.

Defining logical as well as physical data models.

Being involved in maintenance at a technical level.

Ensuring correct strategy around data environments.

Interacting with clients to design and implement appropriate solutions

Qualification and competencies

1 to 2 year experience in data modelling and interaction with cultural diverse teams (international

but also internal / external)

  • Basic knowledge of a large variety of data model related technologies and tools. Understand data modeling as a discipline;
  • Data architecture; Databases (preferably Teradata or Hadoop); ETL

    preferably DataStage), data migration, data integration, data cleansing; Metadata tools; SQL & stored procedures; Other data integrity related tools

    Willingness to travel

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