Senior Data Engineer

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s Analytics & Data Sciences team is seeking a Senior Data Engineer in Durham, NC. 

Be a member of an innovative team working in a collaborative DataOps environment assembled from data engineers, data scientists, visualization, and analytics experts drawn from IT and R&D teams. Relationship building, collaboration, and influencing will be key in an environment of data complexity and difficult data integration challenges.

Accountabilities 

• Support an analytical data infrastructure providing application, tool and ad-hoc access to large datasets consisting of complex data types such as genomic, phenotypic, environmental, image and geospatial data.
• Lead, coach and develop more junior engineers and IT professionals.
• Engage with business stakeholders to understand strategic roadmaps and build a technical strategy to support them.
• Interface with DevOps teams to extract, load and transform data from a wide variety of data sources using big data technologies in AWS cloud such as Glue, EMR, and Lambda.
• Deploy high value, high performance datasets in Snowflake, such as data warehouse design, performance tuning, and governance.
• Create and support of real-time data pipelines built on AWS technologies such as Glue, S3, Lambda, EMR, EventBridge, Athena, Kinesis, and IoT Core.
• Embed quality and intelligent reporting capabilities into data pipelines such as detection of anomalies and changes in trends with meaningful alerts and statistics.
• Ensure data governance, security, and cost optimization across cloud data platforms.
• Continual research on the latest big data and visualization technologies to provide new capabilities and increase efficiency.
• Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into our data pipelines that exploit our rich datasets for statistical analysis, prediction, and clustering.
• Help continually improve automation and simplify data as a service.

Qualifications

PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This encompasses, but is not limited to, OPT, CPT, and H-1B visa holders.       

Required:        

• Degree in computer science, information science, engineering, mathematics, or a related technical discipline.
• 8+ years of industry experience in software development, data engineering, business intelligence, data science, or a related field, with a track record of manipulating, processing, and extracting value from large datasets.
• Strong proficiency in SQL and Python.
• Strong experience with data integration (ETL/ELT) concepts and data modeling.
• Experience building and operating highly available, distributed systems of data extraction, ingestion, and processing of large datasets.
• Deep knowledge of Snowflake, encompasses data warehouse design, performance tuning, and governance.
• Experience with AWS services encompasses S3, Glue, Lambda, and EMR.
• Experience with CI/CD pipelines, infrastructure-as-code (e.g., Terraform, CloudFormation), and DevOps practices.
• Able to write, debug, unit test, and performance test data integration processes.
• Able to clearly define data quality issues and implement data governance practices.
• Strong problem solving/critical thinking skills.
• Ability to lead, mentor and coach other engineers.
• Ability to communicate with, and influence, senior stakeholders.
• Desire to work with Agile/DataOps practices and methodologies.

Additional Information

Salary for this position ranges between $114,100.00 - $163,000.00 annually.  

What We Offer: 

• A culture that celebrates belonging and collaboration, 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.