Sr Data Engineer

Bayer
Bayer

Job Overview

**Sr Data Engineer****YOUR TASKS AND RESPONSIBILITIES**The primary responsibilities of this role, Senior Data Engineer, are to:+ Design & develop data pipelines and solutions for extraction and management of seed production data;+ Provide strategic direction in implementation of data architecture;+ Create & maintain highly scalable and fault tolerant cloud computing infrastructure;+ Generate real-time data assets for data science and analytics;+ Interact with data from diverse structured & unstructured data sources;+ Deliver standardized solutions that are more automated, repeatable and globally integrated;+ Collaborate with business & development teams to ensure new solutions deliver value;+ Leverage domain knowledge to lead business stakeholders through process and solution changes to ensure higher quality of information and alignment with enterprise solutions.**WHO YOU ARE**Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:Required Qualifications:+ Bachelors degree with at least 10 years of experience, or masters degree with at least eight years of experience or a Ph.D. degree with at least five years of professional and/or post doc experience;+ Educational preparation or applied experience in at least one of the following areas: Computer Science, Electrical/Industrial Engineering, or closely-related field;+ Strong experience utilizing Python, Java, Scala and/or related programming languages for data-related applications;+ Experience implementing data pipelines and models in the cloud using AWS or other major cloud platform;+ Experience accessing and setting up APIs (REST, GraphQL, etc);+ Experience developing Structure Query Language (SQL) scripts and stored procedures for extract, transform, load (ETL) processes and Data Warehouses;+ Experience managing enterprise-scale IT systems & projects for large organizations, including project schedules, budgets and resources;+ Experience building data solutions for analytics & business intelligence;+ Experience performing & monitoring real time data streaming with Kafka or similar tools;+ Excellent communication skills with the ability to communicate complex data systems in a clear, precise and actionable manner and deliver presentations to large audiences, executive leadership, and externally at conference and collaborations.Preferred Qualifications:+ Experience working with Data Lakes;+ Experience working with Data Visualization tools;+ Experience working with Google BigQuery and gRPC;+ Experience working with DataRobot or Domino Data Lab;+ Experience working with Azure and Google Cloud Platform.**Location:**United States : Missouri : Creve Coeur**Division:**Crop Science**Reference Code:**232701

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