Data Engineer (Big data expert)
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:
Working with a team of innovative professionals, deliver the next generation data platform for Syngenta. The role will be part of a 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 IT teams within Syngenta to translate data-driven insights into actions and decisions. Implement next generation technologies and capabilities.Skills:
Strong experience with SQL Oracle, PostgreSQL, MS-SQL, etc.
Strong experience with data integration ETL concepts Knowledge of, and experience with, data integration tools Informatica, Business Objects Data Services, Pentaho Data Integration, etc.
Understands data analysis principles
Understands data warehousing conformed dimensional modeling, data vault
Experience with NoSQL technologies Hadoop Hive, Pig, etc., JSON, XML
Desire to work with Agile/DevOps management practices
Familiarity with continuous integration practices
Able to write, debug, unit test, and performance test data integration processes
Able to clearly define data quality issues
Strong problem solving/critical thinking skillsAdditional Knowledge, Skills, Traits & Abilities:
Pentaho Data Integration
Past experience in agriculture domain
Physical data modeling________________________________________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.
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