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Company Description
Syngenta Group is a leading global sustainable agriculture innovation company with a history of over 250 years. With a workforce of 53,000 spanning across more than 100 countries, we devote ourselves every day to transform agriculture by providing customized solutions beneficial to farmers, society, and our planet. This makes us the world’s most local agricultural technology and innovation partner. We at Syngenta Group pledge to operate at the highest standards of ethics and integrity, a commitment we make to our investors, customers, society, and employees. We also strive to maintain a workplace that is free from discrimination and harassment.
Job Description
About this Job:
Are you captivated by the field of data science and desire a career in it? Do you wish to be instrumental in addressing real-world problems such as global food security?
Join our vibrant team that will mentor you and hone your skills in one of the most compelling fields in the IT industry. Grasp the opportunity to acquire skills in the latest technologies pivotal for your career development.
As a Data Engineering intern, you would engage your skills and zeal to learn in an engineering team that supports data scientists and decision makers in fulfilling their data pipeline needs.
Estimated Duration: May 2024 – August 2024
Essential Duties & Responsibilities:
- Learning and using data technology stacks for data pipelines such as Kinesis (Kafka), Spark, SQL engines, Glue, time series databases, data virtualization, and IoT.
- Constructing and automating data pipelines.
Qualifications
Education & Experience:
- Currently pursuing an undergraduate or graduate degree in Computer Science, Information Science, or a related field.
- Familiarity with SQL, structured and semi-structured data, Python, R, or Tableau.
- Strong analytical and problem-solving abilities.
Additional Knowledge, Skills, Traits & Abilities:
- Proactivity and enthusiasm in identifying and solving problems.
- Resilience to remain up-to-date with the existing technology industry and developments.
- Exceptional ability in researching and investigating primary data-associated subjects.
- Excellent verbal and written communication skills including strong interpersonal skills.
- Ability to lead, work independently or collaboratively.
- Demonstrable capacity to operate and contribute in a global team-oriented environment.
Additional Information
Syngenta is an Equal Opportunity Employer and does not discriminate during recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Family and Medical Leave Act (FMLA)
Equal Employment Opportunity Commission's (EEOC)
Employee Polygraph Protection Act (EPPA)
