What are the responsibilities and job description for the Pipeline Tool Developer position at Syngenta Group?
Job Description
At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, the Vegetables & Flowers Seeds Development team is currently seeking a Pipeline Tool Developer located in Durham, NC.
Syngenta is seeking a full stack developer with strong technical and interpersonal skills to collaborate with multidisciplinary teams in delivering innovative and robust analytical tools which enables product advancement and placement for Vegetables & Flowers Seeds Development, Syngenta.
Responsibilities
- Designing, building, and maintaining data pipelines to support the development and deployment of machine learning models and advanced analytics.
- Implementing infrastructure as code and automating and streamlining data operations with a focus on cloud-based data processing.
- Designing and developing end-to-end analytical pipeline.
- Supporting user interface development for web-based applications to enable data visualization.
- Implementing, and maintaining continuous integration and continuous deployment (CI/CD) pipelines.
- Building application containerization and orchestration within a cloud environment.
- Monitoring and optimizing the performance of deployed models by implementing best practices for logging, monitoring, and error handling to triage issues.
- Managing software deployment and configuration in non-production and production environments
Qualifications
Critical Knowledge and Experience
- Bachelor's in Computer Science or a related field.
- At least 5 years of coding experience working with cloud-based services, DevOps concepts and software development.
- Full Stack experience with one or more coding languages (e.g. Python, Java, React/Angular )
- Experience in designing, building, and maintaining end to end software.
- Familiarity with standard concepts and technologies used in CI/CD build and deployment pipelines.
- Experience with logging tools and monitoring tools.
- Proficiency with developing cloud-native applications and deploying to a cloud environment AWS.
- Proficiency using data manipulation tools and libraries such as SQL, good to know Pandas, and Spark.
Desirable Experience
- Experience in big data technologies such as Snowflake, Hive, and Kafka)
- Experience in AI or Machine Learning using Generative AI models and frameworks
Critical Technical, Professional and Personal Capabilities
- Ability to work with data scientists and subject matter experts in R&D to understand the business requirements.
- Ability to work effectively in a fast-paced working environment.
Additional Information
What We Offer:
- Full Benefit Package (Medical, Dental & Vision) that starts the same day you do.
- 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
- Generous Vacation Policy in addition to paid holidays.
- Maternity/Paternity Leave, Education Assistance, Wellness Programs and Corporate Discounts among other benefits.
- A culture that celebrates diversity & inclusion, promotes professional development and strives for a work-life balance that supports the team members.
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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, marital or veteran status, disability, or any other legally protected status.
