Data Warehouse Engineer

Job Listing No: 9740000

Data Warehouse Engineer

Corteva Agriscience(Agriculture Division of Dow DuPont) is the world leader in the plantbiotechnology industry including the discovery, development and delivery of elitecrop genetics and crop protection solutions. Our Data Science & Informatics(DSI) department in R&D is lookingfor creative individuals with critical thinking skills to develop robust andinnovative solutions to complex problems. We solve research problems usingcustom software development, data science, high performance computing,laboratory automation, electro-mechanical engineering, and computationalbiology.We are seeking a proven Data Warehouse Engineer to unleashthe value of data in ways that create value for our Research partners withinData Science & Informatics group. We are looking for creative individualswho possesses the knowledge to understand complex data and relationships andthe ability to work with large data sets and Big Data to build efficient dataintegration solutions in building and supporting our Data Warehouse platformfor reporting & analytics.  If you have demonstrated the ability to implementsolutions, adjusting to constraints while mitigating risks; if youbalance great technical depth with strong interpersonal skills and emphasizecommunication in your day to day work; if you are interested in applying yourskills in a challenging, dynamic, agriculture focused research environment -we?d love to talk to you.We offer an inspiring, dynamic work environment with amazingcolleagues and countless opportunities to apply your talents and skills in newand innovative ways. At Corteva we recognize that there is life outside of workand support you in establishing a healthy work-life balance. Responsibilities The successful candidate will helpintegrate data from a variety of data sources into Corteva?s Research Data Warehouseto support reporting and analytical applications. The candidate will work withthe R&D partners within Data Science & Informatics group in Designingand Developing ETL/ELT processes as well as proper representations of theintegrated data and delivery methods for downstream applications. ?       Be a trusted team member and collaborator in theData Science & Informatics team?       Design, develop, own and evolve the data anddata integration processes that power our data warehouse platform.?       Design, Develop and implement on-premise & cloudDW infrastructure.?       Develop and maintain complex Data Ingestion andTransformations for data originating from multiple data sources.?       Contribute to architecture of data integrationsolutions?       Collaborate with teams across DSI to share andacquire development ideas and knowledge.?       Create efficient SQL queries & ETL Mappingsusing Informatica & Python/SQL to analyze data from external applicationsand the data warehouse.?       Evaluate and recommend products that enhance ourcloud BI / DW solution.?       Analyze and resolve user issues reported to theSupport Desk.Qualifications:Education &ExperienceBachelor?s degree in Computer Science, Computer Engineeringor related field and 5+ years of experience developing data warehouse solutionsrequired; or equivalent levels of relevant education and experience.The ideal candidate will have strong written and verbalcommunication skills and have the demonstrated ability to work collaborativelyin a multifunctional team. Competencies This position requires proven experience in data warehousingpractices and concepts as well as proven experience in dimensional andrelational database modeling.Highly desirable experience includes the following: 2 years of AWS S3, EMR, EC2, Python andLambda experience is preferred.Strong working knowledge of NearRealtime Data Warehousing principles and implementations.Working knowledge of key RDBMSdatabases like Oracle, Teradata, and other Cloud DW.Strong practical experience with SQLand Database principles.Experience in working with ETL toolsand technologies like Informatica and others.Experience with the Linux operatingsystem is very beneficial.Create Technical Designs and MappingSpecifications.Hands-on experience in QueryOptimization and Performance improvement practices.Experience in Relational andDimensional Data Modeling.Experience with Agile developmentmethodologies.Experience in Data VirtualizationPlatform using tools like Denodo and others is preferred.Communicate well in both oral andwritten form.

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