About Syngenta:Syngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 28,000 people in over 90 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.About this Job:Along with collaborations and partnerships deliver the next generation data platform for Syngenta. The role will lead an innovation team enabling integration of data sources with next generation technologies across functional boundaries and enable researchers and decision makers to solve ever more complex problems and make decisions that impact business outcomes. Work with analysts, project teams, and other leaders within Syngenta to translate data-driven insights into actions and decisions. Implement next generation technologies and capabilities.Essential Knowledge and Experience:Implement a high-performance, next generation data platform.
Work with a team to identify, design and build appropriate dataset and linkages for complex data.
Refactor legacy data platforms to integrate with the next generation data platform.
Implement data quality infrastructure and processes.
Implement data infrastructure for emerging data classes.
Contribute to the teams growing set of development platforms, tools, processes and promote industry standard best practices.
Identify analytics tool guidelines and standards for performing required data preparation, analysis, visualization, and reporting.
Provide business and architectural context to show how the analytics tools fit within the overall infrastructure and high-performance data architecture.
Organize, deliver, and ensure data integration support of a corporate computing capability.Skills:
Preferred Knowledge & Experience:3-5 years of experience with large scale data technologies such as Hadoop, Spark, machine learning, etc.
Knowledge of informatics, analytics, computational science, service management, delivery.
Knowledge of toolsets and capabilities utilized by expert data scientists and modelers.
Knowledge of Perl/Python and Unix scripting.
NoSQL and RDBMS databases
Hadoop-based tools Hive, Hbase, MapReduce, MongoDB, Cassandra
Data modeling and ELT / ETL
Data analytics and visualization
Solid communication skills and team playerPreferred Qualifications: Bachelors or Masters degree in Informatics, Computer Science, or related fields
Experience in Big Data tools, infrastructure, analytics and visualization
Leading cross-functional / organizational / geography people and teamsAdditional Information:All applicants must be eligible to work in the U.S.
Full time/ Permanent
Domestic and international travel up to 10%
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.