Data Engineering Intern

3 weeks ago

Champaign, United States AGCO Full time

Data Engineering Intern Date: May 10, 2024 Location: Champaign, IL, US Workplace Type: Onsite Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution Join us to make your contribution. As a student, you will be an important part of the team right from the start and can look forward to exciting work. We are interested in your ideas as it is often our students and their new perspective that helps us progress. With this, you can make a significant contribution to our company's success At AGCO, you will gain valuable practical experience that will really help you get ahead. The AGCO Acceleration Center in Champaign, IL is looking for an Data Engineering Intern. This role is vital in aligning with our Farmer First focus and goals, empowering the agricultural community with data-driven insights. Embracing our core values of innovation, collaboration, and integrity, this position plays a critical role in enhancing our data engineering capabilities. Interns will gain valuable experience in a dynamic environment that emphasizes growth, contributing directly to making data-backed decision processes more efficient for AGCO business, stakeholders, and product owners. Your Impact Collaborate with cross-functional teams to gather, clean, and analyze complex datasets, focusing on the AgTech industry. Develop and maintain robust data pipelines, databases, and ETL processes utilizing Python, PySpark, SQL, and AWS services. Utilize data analytics tools for data cleansing, processing, and transformation to optimize and enhance the quality of datasets. Leverage AWS and other technologies to ensure efficient data storage, processing, and access across the organization. Communicate effectively with AGCO business units, stakeholders, and product owners, facilitating data-backed decision-making. Stay current on industry trends, emerging technologies, and best practices in data engineering and analytics. Continuously monitor, evaluate, and adjust data-driven solutions to align with the Farmer First focus and AGCO's core values and objectives. Your Experience and Qualifications Required Currently pursuing a degree in Information Management, Data Science, Computer Science, Engineering, or a related field. Preferred Knowledge of Tableau for data visualization and AWS for data storage and processing. Familiarity with data engineering concepts, including ETL processes, database management, and data analytics. Expereince using Generative AI for data extraction and analysis. Exposure to Azure Dev ops and Github. Ability to understand and work with complex datasets and tools like Python and SQL. Strong understanding of AgTech industry trends and how data analytics can drive insights within this field. Demonstrated ability to collaborate effectively with cross-functional teams. Solid problem-solving skills, with a passion for utilizing data to derive meaningful insights. Excellent communication abilities, both written and verbal, with the capacity to present complex information to various stakeholders. A proactive approach to continuous learning and staying abreast of emerging technologies and best practices in data engineering and analytics. Your Workplace This is a paid, full-time internship during the Summer of 2024 at AGCO Acceleration Center in Champaign, IL Housing and relocation will not be provided. Summer internships run from June 2024 through August 2024 We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives. Join us as we bring agriculture into the future and apply now AGCO is proud to be an Equal Opportunity Employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing. Job Segment: Summer Internship, Entry Level Engineer, Intern, SQL, Database, Entry Level, Engineering, Technology

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