Senior Data Engineer

Company Description

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all - while minimizing the use of land and other agricultural inputs.

Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold.

Syngenta Crop Protection is headquartered in Switzerland.

Job Description

• 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, and data cloud.
• 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.

Qualifications

This position requires a Master's degree in Computer and Information Sciences, Computer Engineering, or a related field of study and three (3) years related work experience as a Data Engineer, Software Developer, or a closely related occupation.

Requires three (3) years of experience with : scripting using Python, and PowerShell; multi-cloud environment, AWS, Azure, GCP; building analytical reports in Tableau; data warehousing platforms including Redshift or snowflake; RDBMS systems including oracle, sql server, postgres, and AWS RDS; NoSQL databases including mysql, and AWS DynamoDB; building ETL workflows using AWS Glue, and AWS data pipelines; data processing using Spark, Hadoop, Hive, Sqoop, and AWS EMR; working with serverless frameworks including AWS lambda, and AWS EMR Serverless; Machine learning techniques; airflow to orchestrate the data pipelines; Data modeling; configuring AWS cloud monitoring and alerts for cloud resource availability; building data transformations with DBT; writing data pipelines integrating with AWS services using boto3 SDKs; pandas, and NumPy. Requires two (2) years of experience with : Scala; streaming or batch processing pipeline solutions using AWS Kinesis; CI / CD tools, pipelines, and scripting for automation using gitlab, github, Jenkins, AWS CDK, and terraform; building deployment pipelines for ML models; Kubernetes and Docker containers, or AWS Fargate.

Requires any amount of experience with : Informatica Power Center.

Will accept experience gained before, during or after Master's program.

Must pass a background check and drug test before beginning employment.

Full-time position based in Durham, NC.

Additional Information

What We Offer :

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.

Family and Medical Leave Act (FMLA)

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Equal Employment Opportunity Commission's (EEOC)

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Employee Polygraph Protection Act (EPPA)

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