Data Engineer Intern

Vermeer CorporationPella, IA
1dOnsite

About The Position

Vermeer equips customers doing important work around the world. We are global, driven by innovation and growing. The equipment we make manages natural resources, connects people and feeds and fuels communities. We live out a caring culture, we demonstrate agility, we keep a focus on customers and are stewards of our resources. These beliefs drive our culture, determine how we treat others and steer our business. Are you a student who enjoys assisting in the development and validation of data integration solutions? In this role you will understand and align requirements to resulting integration product delivery. We’re looking for a highly adaptive, resourceful student who is a fast learner. Who We Are Vermeer equips customers doing important work around the world. We are global, driven by innovation and growing. The equipment we make manages natural resources, connects people and feeds and fuels communities. We live out a caring culture, we demonstrate agility, we keep a focus on customers and are stewards of our resources. These beliefs drive our culture, determine how we treat others and steer our business.

Requirements

  • High School diploma required.
  • Current student pursuing a bachelor's degree in Computer Science, Data Engineering, Data Science, Informatics or related field.
  • Ability to validate data received from various web services and other integration technologies (REST, XML/JSON, SOAP, ETL).
  • Knowledge of relational databases, SQL queries, relational and dimensional data modeling and data warehouses.
  • Strong attention to detail.

Nice To Haves

  • Previous internship is a plus.

Responsibilities

  • Analyze data ingestion, transformation, and loading (ETL) techniques for accuracy.
  • Understand basic business requirements and engage with integration developers to design and verify corresponding solutions using Agile project methodology.
  • Follow best practices and security standards for all data, including personally identifiable data.
  • Ensure all data-related activities adhere to business requirements and data integrity best practices.
  • Test and diagnose developed integrations for defects.
  • Participate in project planning sessions, review requirements and functional specifications.
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