Senior Data Engineer

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 Syngentas 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 $114100.00 - $163000.00 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:  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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Remote Work :

No

Employment Type :

Full-time