Junior Cloud Data Engineer

Company Details

WORLD LEADER IN ENGINEERING AND R&D SERVICES

Junior Cloud Data Engineer

Destination

For the Milan office we are looking for brilliant recent graduates in Statistics, Mathematics, Physics, Computer Science and quantitative economics. The resource will be included in the Cloud Data Engineer group of the Insight & Data practice working with the most senior Data Engineers of the Team, focusing on data management with Microsoft Azure technologies.

As a Cloud Data Engineer you will carry out analysis, development and implementation of architectures and applications using innovative techniques for data management especially in a Big Data perspective, further increasing the AI ​​Engineering community very active on the Apache ecosystem, with the aim of:

  • Work on large datasets using technologies such as Azure Databricks to process large amounts of data by leveraging Apache Spark clusters
  • Implementation of Data Pipelines to manage unstructured data on storage such as Azure Data Lake based on Apache Hadoop technology
  • Streaming data management for Real-Time analysis and processing on IoT platforms
  • Data Modeling and normalization using models and relational
  • Implementation of ETL Flow / Pipelines using Azure Data Factory
  • Data Storing on Azure SQL Database / Data Warehouse, Azure Data Lake, Blob Storage
  • Management of Streaming data flows with Azure Event / IoT Hub, using Azure Stream Analytics, to create IoT platforms and Real-Time analysis
  • Use of Polybase to read unstructured data using T-SQL language in Azure SQL Datawarehouse
  • Drawing and Data Model in Tabular format and implementation with Analysis Services using DAX language
  • Dashboarding with Microsoft Power BI
  • Analyze the Customer’s business processes
  • Propose the Capgemini technological solution in line with the customer’s needs
  • Implement the technological solution consistently with the objectives and times agreed with the Customer

Are required:

  • Aptitude for team work
  • Flexibility
  • Proactivity
  • Motivation
  • Problem solving
  • Passion for data
  • Strong analytical skills
  • Good knowledge of English
  • Good knowledge of the office package
  • Knowledge of at least one of the following languages: R, Python, SQL
  • Strong mathematical / statistical skills

Tagged as: SQL, mathematics, statistics, azure, database, data modelling, data storage, cloud data, quantitive economics

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