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Data Engineer Intern - 6 month

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Munich Re

3d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Princeton

AI generated summary

  • You should be a graduate student in relevant fields, proficient in Python and SQL, with knowledge of R, C#, Java, and Big Data technologies. Understanding of ML/DL algorithms is a bonus. Must commit to 6 months.
  • You will provision data to Azure Data Lake, develop data pipelines, create Power BI reports, deploy statistical models, understand data sources, and support the analytics team and business units.

Requirements

  • Preferred majors: Graduate student in Computer Science, Computer Engineering, Analytics, Statistics and Information Technology
  • Python
  • SQL
  • R, C# and Java knowledge is a bonus
  • Big Data Technologies (such as Azure Data Lake Storage, Azure Data Factory, Azure Cloud Stack) is a bonus
  • Understanding of Machine & Deep Learning Algorithms is a bonus
  • Ability to start immediately and commit to a six (6) month internship.
  • Applicants requiring employer sponsorship of a visa now or in the future will not be considered for this position.

Responsibilities

  • Data Provisioning to Data Lake on Azure Cloud
  • Data Curation and Data Pipeline Development
  • Report/Dashboard Development using Power BI tool
  • Statistical Model Deployment
  • Understanding of internal/external data
  • Technical Support to Analytics Team and Business Units

FAQs

What is the duration of the internship?

The internship is for a duration of 6 months.

Where is the internship location?

The internship is located in Princeton, New Jersey.

What are the main responsibilities of the Data Engineer Intern?

The main responsibilities include data provisioning to the data lake on Azure Cloud, data curation and data pipeline development, report/dashboard development using Power BI, statistical model deployment, understanding of internal/external data, and providing technical support to the analytics team and business units.

What qualifications are required for this internship?

Preferred qualifications include being a graduate student in Computer Science, Computer Engineering, Analytics, Statistics, or Information Technology, and having skills in Python, SQL, and bonus skills in R, C#, Java, Big Data Technologies, and understanding of Machine & Deep Learning Algorithms.

Is there a visa sponsorship available for this position?

No, applicants requiring employer sponsorship of a visa now or in the future will not be considered for this position.

When is the expected start date for the internship?

The internship is expected to start immediately.

What tools will be used for report/dashboard development?

Reports and dashboards will be developed using the Power BI tool.

Are there specific technical skills that are considered a bonus for this internship?

Yes, knowledge of R, C#, Java, Big Data Technologies (such as Azure Data Lake Storage, Azure Data Factory, Azure Cloud Stack), and understanding of Machine & Deep Learning Algorithms are considered a bonus.

What is the company culture like at Munich Re?

Munich Re emphasizes diversity, equity, and inclusion, aiming to create an inclusive culture and workforce that reflects its customers and communities.

Are reasonable accommodations available for individuals with disabilities?

Yes, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.

Pushing the boundaries of insurability to help the world advance with confidence.

Finance
Industry
10,001+
Employees

Mission & Purpose

Munich Re is one of the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. The group consists of the reinsurance and ERGO business segments, as well as the capital investment company MEAG. We are globally active and operate in all lines of the insurance business. Since our founding in 1880, we’ve been known for our unrivaled risk-related expertise and sound financial position. We offer customers financial protection when faced with exceptional levels of damage – from the 1906 San Francisco earthquake to the 2017 Atlantic hurricane season. We possess outstanding innovative strength, which enables us to also provide coverage for extraordinary risks such as rocket launches, renewable energies, cyber attacks, or pandemics. We’re also playing a key role in driving forward the digital transformation of the insurance industry, and in doing so have further expanded our ability to assess risks and the range of services that we offer. Our tailor-made solutions and close proximity to our customers make Munich Re one of the world’s most sought-after risk partners for businesses, institutions, and private individuals. Our corporate culture is defined by performance, mutual respect and trust. All this makes us an attractive employer providing global career development opportunities and prospects.

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