Source description
About the role
Duration: 1 Year
Location: Brussels, Belgium
Language: English and French or Dutch (one fluent the other one basic at least)
Job Role
Take an active part to the next steps of the data lake set-up: storage structure, integration of the components…
Scan market of available tools and propose options depending on requirements and company standards
Define the architecture of the new components like analytics model operationalization, API publication…
Design of the main data pipes to support use cases,
Look for/propose automation tools and technical process improvements,
Take part to PaaS governance improvement,
Coaching/support of a few internal resources,
Documentation of the architecture, guidelines and principles,
Provide guidance on some technologies like Cosmos DB's (graph instantiation…),
Required Knowledge and Experience
Must be a self-starter, work independently, and in a collaborative team environment
Solution driven / Pragmatic
Strong problem solving skills
Pro-active and flexible
Strong verbal / written communications and presentation skills
Coaching & training skills
Experience with analytics use cases
Understanding of data scientists job (needs and constraints)
Preferred experience within Insurance or financial domain
Preferred to have experience on projects with different technology stacks, integration aspects
Technical experience required
Experience in Azure data Lake components and principles (ADLS…).
Experience in DataBricks
Experience in Data Factory
Experience in PaaS data lake set-up
Experience in Azure data lake environment
Knowledge of pipes principles and developments
Experience in API creation to operationalize analytics models and integrate them in operations processes
Knowledge of popular technologies & framework built around Azure data lakes
Being aware of best practices, trends & evolutions of the IT industry and most particularly Data Analytics environments/systems
Knowledge about Data Management: lineage, data quality principles…
Knowledge about/experience in DWH running in Azure environment
Knowledge about data catalog integration with data lake
Functional experience required
Database modelling via modelling tools such as Erwin or Visio
Architecture, functional & technical analysis on database, ETL & BI solutions
Understanding of Best Practices for SQL server Database, datawarehousing, ETL & BI solutions across the Enterprise
Ability to interact with Business Owners and gather Business Requirements
Ability to translate Business Requirements into functional & technical Requirements
Division: eTeam Workforce Limited Reference: 19-01199
More at eTeam
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