Azure Data Architect

No. of Job Positions 2
Project Location(s): Rome, Milan, Sannio, Eysins (CH), Budapest (H)
Education: Technical-scientific Degree (Computer Engineering, Information and Science Technology) Excellent knowledge of English Language

The identified resource will be included in development projects in Microsoft Azure for the development of applications that involve the use of different technologies: Relational Databases (eg SQL Server), Power BI, Visual Studio, Git, Analysis Service, ETL tools and by Advanced Analytics. The main responsibility will be the design and development of applications for reporting purposes and respective analysis aimed at supporting decision-making processes in the future, coordinating one’s work with that of the other members of the development team and participating in the entire software life cycle. , with the aim of creating high quality solutions in compliance with project standards.

Required Skills

  • 3-4 years experience both in the back-end and front-end part
  • Task development with Talend Studio / Talend Management Console
  • In-depth knowledge of the Azure Data Factory ETL tool for handling and transforming data between different layers (Pipeline Development, Definition of Linked Service and Dataset, use of triggers =
  • In-depth knowledge of Azure Data Lake / Storage Account for temporary storage and data historicization
  • Deep knowledge of Azure SQL DB / SQL DWH with basic notions of DDL and MML, use of indexes, materialized view, synonyms, external resources. Stored Procedures Development (T-SQL)
  • Knowledge of Azure Analysis Services. Specifically, notions of Facts and Dimensions, Star Scheme, Relations. Design of dimensional data models, Row level security, KPIs
  • Expertise in the use of reporting tools e.g. Power BI
  • Expertise in the use of IDEs e.g. Visual Studio
  • Fundamentals of programming languages ​​e.g. Phyton, R, C #
  • Statistical and mathematical skills
  • Analytical and creative skills

Preferred Skills

  • Expertise in the use of DevOps support tools e.g. Azure DevOps
  • Familiarity with the core services of the Microsoft Azure platform
  • Knowledge of the Hadoop platform
  • Predisposition for team work
  • Flexibility related to task assignment

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