Senior Data Engineer

Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. 

Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.  

Syngenta Seeds is headquartered in the United States. 

Join our cutting-edge team at the forefront of agricultural innovation, where you'll play a crucial role in our DataOps environment. As a key member of our diverse and talented group, you'll collaborate with data engineers, data scientists, and visualization and analytics experts from both IT and R&D backgrounds.

In this dynamic position, you'll tackle complex data integration challenges and help shape the future of agricultural technology. Your ability to build relationships, collaborate effectively, and influence outcomes will be instrumental in navigating our data-rich landscape.

This role offers a unique opportunity to:

• Drive innovation in a fast-paced, collaborative environment
• Work with state-of-the-art data technologies and methodologies
• Contribute to projects that have a global impact on food security and sustainability
• Develop your skills alongside industry-leading experts

If you're passionate about leveraging data to solve real-world problems and thrive in a challenging, interdisciplinary setting, we want you on our team.

Accountabilities:

• Build, test, and maintain robust, scalable, secure, highly available data pipelines and reservoirs that store, clean, transform, and aggregate streaming data.
• Partner closely with architects and the security team; understand the holistic view of edge computing, security and data strategy; drive streaming data ingestion from IoT gateway to storage - all in the agriculture IoT realm.
• Expose data as consumable data sources for analytics via APIs, data virtualization services (Denodo), and data cloud (Snowflake).
• Continual research of the latest streaming data services and technologies to provide new capabilities and increase efficiency.
• Collaborate with data scientists and other tech teams to implement advanced analytics that exploit our rich datasets for statistical analysis, prediction, clustering, and machine learning.
• Help continually improve automation and simplifying data as a service.

Required:

• Well versed in cloud services such as Glue, S3, Lambda, EMR, EventBridge, and Athena.
• Degree in computer science, information science, engineering, mathematics or related technical discipline and 0-3 years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of securing, manipulating, processing, and extracting value from large datasets.
• Data Engineering Expertise:
  • Proficiency in data integration (ETL/ELT), building and operating distributed systems for large-scale data processing
  • Experience with SQL and NoSQL databases, including Amazon RDS, Snowflake, DynamoDB, Neo4j, and Timestream DB
  • Strong programming skills in Python and Java, with knowledge of R for statistical analysis
• Technical Skills:
  • Data modeling, virtualization, and transformation
  • Ability to identify and address data quality issues
  • Familiarity with Agile/DataOps practices and methodologies

Preferred:

• Data streaming technologies (Kinesis, Kafka)
• IoT pipelines (AWS IoT Core, Kinesis)
• Geospatial data manipulation and storage
• Business rules engines such as Drools
• Data virtualization such as Denodo or Tibco

What We Offer:

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs. 
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.  
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution. 
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. 

Syngenta has been ranked as a top employer by Science Journal. 
Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI 

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, marital or veteran status, disability, or any other legally protected status. 

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