Job Description

At Syngenta, we all have the common goal of helping humanity address one of its toughest challenges: how to feed a rising global population using sustainable approaches. Do you want to be part of a team that is solving real world problems such as food security for the world?   

The Syngenta Seeds Research and Development (R&D) IT team is looking for a creative and motivated Data Engineer Intern who is passionate about impacting the world and helping craft the next generation of digital solutions. As a Data Engineer Intern, you will utilize your skills and desire to learn as part of an engineering team that supports data scientists and decision makers in their data pipeline needs.   

Our data engineers are key to developing and continuously improving Syngenta’s versatile data lake platform (DLP).  Our DLP allows our researchers to harness meaningful insights from internal and external scientific information for the purpose of improving crop quality and yield in the field.  Because of our DLP, Syngenta has delivered world class products and services to address farmers’ challenges.  

ESTIMATED DURATION: May – August 2023 

PREFERRED LOCATION: RTP, NC or Downers Grove, IL 

YOUR PRIMARY RESPONSIBILITIES MAY INCLUDE THE FOLLOWING: 

• Learn and use data technology stacks for data pipelines such as Kinesis (Kafka), Spark, SQL engines, Glue, time series databases, data virtualization and IoT 
• Learn how to create, maintain, and enhance the data pipeline and our DLP 
• Use enterprise commercial analytics systems such as Tableau, and Dataiku 
• Partner with scientists from R&D to develop user stories and ensure there is a shared understanding of the required need 
• Assemble sophisticated data sets that meet functional and non-functional business requirements 
• Work as part of an agile team to help build analytics tools that utilize the data pipeline to deliver impactful insights for R&D researchers

HOW YOU WILL BENEFIT: 

• Develop skills and experience to further your career 
• Gain hands-on IT experience in an innovative global company 
• Contribute to shaping the future of sustainable agriculture globally  
• Opportunity to learn about the DevOps software delivery process 
• Experience shadowing and training with knowledgeable, industry-leading technology professionals 
• Attend networking events, internal training, upskilling sessions, and company meetings 
• Work in a highly collaborative environment that places emphasis on investing in the individual 
• Give back to the local community by participating in one of the many United Way Sponsored volunteering opportunities

Qualifications

EDUCATION AND EXPERIENCE: 

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Science, Computer Engineering or related field 
• Some familiarity with SQL, structured and semi-structured data, Python, R or Tableau 
• Some experience working with relational and non-relational databases, such as MySQL, PostgreSQL, Amazon DynamoDB, MongoDB, or other relevant platforms 
• Experience with or proven ability to learn enterprise commercial analytics systems such as Tableau, and Dataiku 
• Strong analytical and problem-solving aptitude

WHAT GIVES YOU AN ADVANTAGE?  

• Proactive approach and enthusiasm for problem identification and solving  
• Curious about and keeps up to date with current technology industry and developments  
• Strong ability to research and investigate basic data related topics 
• Excellent verbal and written communication skills including strong interpersonal skills 
• Ability to work in a fast-paced, collaborative team environment 
• Be able to demonstrate capacity to work in and contribute to a global teamwork environment

Additional Information

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Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. 

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