US - IT Data Engineer

Bayer AG

United States

United States

About

Join a dynamic team dedicated to revolutionizing agricultural solutions for a sustainable future. In this role, you will be a pivotal member of a data engineering team, tasked with creating distributed analysis capabilities around diverse datasets. You will leverage your expertise in software craftsmanship and algorithms to innovate and enhance our systems, collaborating with top-tier talent to tackle complex challenges that have significant real-world implications. This position offers the opportunity to explore cutting-edge technology stacks and present your work at prestigious technical conferences, all while contributing to impactful projects that drive the future of agriculture. Responsibilities: - Develop and maintain distributed analysis capabilities for large datasets. - Apply advanced knowledge of algorithms and data structures to improve software quality and performance. - Collaborate with cross-functional teams to solve complex challenges in agricultural data management. - Evaluate and implement relevant technology stacks tailored to specific datasets. - Present findings and innovations at industry conferences and events. - Contribute ideas and insights to various projects, emphasizing the strength of concepts over organizational hierarchy. Skills: - Proficient in software engineering principles with at least 7 years of experience. - Strong expertise in Go programming language (minimum 2 years). - Experience building and maintaining data-intensive APIs using RESTful architecture (minimum 2 years). - Familiarity with stream processing technologies, particularly Apache Kafka. - Comfortable with Unit Testing and Test Driven Development methodologies. - Knowledgeable in containerization technologies such as Docker. - Proven ability to build and manage cloud-based infrastructure on platforms like AWS, Azure, or Google Cloud Platform. - Experience in data modeling for large-scale databases, both relational and NoSQL. Qualifications: - Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred). - Relevant certifications in cloud computing or software development are a plus. This is an exciting opportunity to be at the forefront of agricultural innovation, where your contributions will directly impact global food sustainability efforts. Join us in transforming complex scientific datasets into actionable insights that can change the way we approach agriculture for generations to come.
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United States

Languages

English

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