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Data Engineer Intern - 6 month

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Munich Re

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Princeton

AI generated summary

  • You should be a graduate student in relevant fields, skilled in Python and SQL, and bonus points for knowledge of R, C#, Java, Big Data tech, and ML algorithms. Must start immediately for 6 months.
  • You will provision data to Azure Data Lake, develop data pipelines, create Power BI reports, deploy statistical models, understand data, and provide technical support to the analytics team.

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 six months.

Where is the internship located?

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, 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 preferred for this position?

Preferred qualifications include being a graduate student in Computer Science, Computer Engineering, Analytics, Statistics, or Information Technology, and familiarity with Python, SQL, Big Data Technologies, and understanding of machine and deep learning algorithms.

Are applicants requiring employer sponsorship for a visa considered for this position?

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

What technical skills are important for this internship?

Important technical skills include proficiency in Python and SQL, with additional knowledge in R, C#, Java, and familiarity with Azure Data Lake Storage and Azure Data Factory being a bonus.

Can recent graduates apply for this internship?

Yes, recent graduates pursuing a graduate degree in relevant fields are eligible to apply for the internship.

Is experience with Power BI necessary for this role?

While not explicitly stated, experience with Power BI is advantageous as report/dashboard development is one of the key responsibilities.

What is Munich Re's approach to diversity and inclusion?

Munich Re aims to foster an inclusive culture and build a workforce that reflects its customers and the communities it serves, focusing on diversity, equity, and inclusion as solutions to challenges and opportunities.

What is the expected start date for the internship?

The internship offers immediate start availability.

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Munich Re

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.