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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Data Engineer Intern

hrhub
Found 2 months ago
Location
Milan, Italy
Time
Not disclosed
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • AWS GLUE
  • ETL
  • AWS Lambdas
  • Java
  • Python
  • PowerBI
  • Tableau
  • Big Data

Soft Skills

  • Analytics
  • Technical skills
  • Communication

Job Description

We are looking for a Data Engineer to join the Data & Automation team. The position will be based in Milan. You will report to the Head of Data & Automation. You will be mainly responsible for supporting day-to-day data analysis and data management activities. Utilising analytics and technical skills to assist in building and maintaining data solutions to address business problems. Helping ensure the quality of data communicated to clients and engage in initiatives to implement relevant analysis contents. Key accountabilities Assist in data engineering initiatives, including designing and deploying Big Data products. Help design, build, and enhance data platforms and applications to support business needs. Support the development and maintenance of real-time software and services for trading platforms. Contribute ideas on tools and frameworks to help define target solutions. Provide support in task estimation and tool development. Assist in producing documentation and training teams to use delivered software. Assist in building systems and processes to transform raw data into business insights. Produce accurate reports for relevant business units. Identify areas for automation in data mining processes. Assist in regulatory reporting.

Requirements

  • Basic knowledge of database handling and implementation
  • Familiarity with cloud-based technologies
  • Understanding of ETL tools
  • Basic knowledge of AWS GLUE and other AWS-based ETL technologies
  • Familiarity with AWS Lambdas, Java, and Python languages
  • Ability to plan and execute basic data management and analytics tasks
  • Ability to identify, collect, and analyze data for software development
  • Understanding of data visualization tools like PowerBI and Tableau
  • Ability to transform raw data into business insights

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • English
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