Senior Data Engineer

Company Description

As a global leader in crop protection, we help farmers deal with various threats ensuring adequate, safe, nutritious and affordable food for everyone, while reducing the use of land and other agricultural resources.

Syngenta Crop Protection safeguards plants from planting to harvest. From the instant a seed is sown until reaping time, crops require protection against weeds, pests, diseases and natural disasters such as droughts and floods, extreme heat, and cold.

Syngenta Crop Protection is based in Switzerland.

Job Description

The Senior Data Engineer will be part of a team working in a collaborative DataOps atmosphere, composed of data engineers, data scientists, and visualization and analytics experts drawn from IT and R&D teams.

Specific duties include:

• Supporting an analytical data infrastructure providing application, tool, and ad-hoc access to extensive datasets composed of intricate data types including genomic, phenotypic, environmental, image, and geospatial data.
• Processing substantial data using Big Data tools and technologies like Spark, Hadoop, and Hive and extracting, transforming, and loading data using various tools.
• Engaging with business stakeholders to comprehend strategic roadmaps and formulating a technical strategy to support them.
• Deploying high-value, high-performance datasets in Snowflake.
• Creating and supporting real-time data pipelines built on AWS technologies including Glue, S3, Lambda, EMR, EventBridge, Athena, Kinesis, and IoT Core.
• Establishing end-to-end database architecture and data modeling in Oracle, Microsoft SQL Server, PostgreSQL, and Sybase and creating complex SQL queries, stored procedures and functions to implement business logic.
• Incorporating quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics.
• Maintaining versions of code and implementing CI/CD (continuous integration and continuous deployment) pipelines using Github, Teamcity, Jenkins, and SVN.
• Constantly researching the latest big data and visualization technologies to provide new capabilities and increase efficiency.
• Collaborating with data scientists and other tech teams to integrate advanced analytics algorithms into our data pipelines that exploit our rich datasets for statistical analysis, prediction, clustering, and machine learning.
• Aiding in the continuous improvement of automation and the simplification of data as a service.
• Performing work using cloud technologies including AWS, EC2, S3, Kinesis, Glue, Redshift/Spectrum, Lambda, EMR, Athena, Data Pipeline.
• Creating Graphical User Interfaces by coding in advanced HTML, Java, and JavaScript and creating various utilities through programming in Python, PowerShell, and Unix Shell Scripting.

The position is based at the company's headquarters in Greensboro, NC; employees may telecommute from anywhere in the U.S.

Qualifications

This position requires a Bachelor’s degree or equivalent in Computer Science, Information Science, Engineering, Mathematics, or a related technical discipline and 5 years of related (progressive, post-baccalaureate) experience.

Candidates must also have 12 months of experience (which may have been gained concurrently) with each of the following:

1. Processing large data sets using Big Data tools and technologies such as Spark, Hadoop, and Hive, and extracting, transforming, and loading data using various ETL tools.
2. Maintaining code versions and implementing CI/CD (continuous integration and continuous deployment) pipelines using Github, Teamcity, Jenkins, and SVN.
3. Creating end-to-end database architecture and data modeling in Oracle, Microsoft SQL Server, PostgreSQL, and Sybase, and creating complex SQL queries, stored procedures and functions to implement business logic.
4. Performing work using cloud technologies including AWS, EC2, S3, Kinesis, Glue, Redshift/Spectrum, Lambda, EMR, Athena, Data Pipeline.
5. Creating Graphical User Interfaces by coding in advanced HTML, Java, and JavaScript and creating various utilities by programming in Python, PowerShell, and Unix Shell Scripting.

All experience may have been gained concurrently. Candidates must pass a background check and drug test before beginning employment. This position is based at the company's headquarters in Greensboro, NC; however, employees may telecommute from anywhere in the U.S.

Additional Information

What We Offer:

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance. We offer flexible work options to support your work and personal needs.
• Full benefits package (medical, dental, and vision) that begins on your first day.
• 401k plan with company match, profit sharing, and retirement savings contribution.
• Paid vacation, 9 paid holidays, maternity and paternity leave, educational assistance, wellness programs, corporate discounts, among other benefits.

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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