What are the responsibilities and job description for the Senior Data Engineer position at bayer?
Job Summary:
Join Bayer Crop Science in the mission to develop sustainable agricultural solutions for a growing global population. As a key member of the data engineering team, you will play a critical role in transforming complex scientific datasets into innovative software solutions that drive advancements in crop system development decisions. This position offers the opportunity to work with top talent, explore cutting-edge technology stacks, and present groundbreaking work at technical conferences.
Responsibilities:
- Contribute as a senior member of the data engineering team to create distributed analysis capabilities for various datasets.
- Apply deep knowledge of algorithms and data structures to continuously improve software craftsmanship and drive innovation.
- Collaborate with talented peers to solve complex challenges with real-world impact.
- Evaluate and select relevant technology stacks for different datasets.
- Seek opportunities to showcase work at technical conferences such as Google Cloud Next and GraphConnect.
- Project your talent into relevant projects, emphasizing the strength of ideas over organizational hierarchy.
Skills:
- 7 years of experience in software engineering.
- Minimum 2 years of experience with Go programming language.
- Demonstrated experience (2 years) in building and maintaining data-intensive APIs using a RESTful approach.
- Proficiency in stream processing utilizing Apache Kafka.
- Comfort with Unit Testing and Test Driven Development methodologies.
- Familiarity with creating and managing containerized application deployments using Docker.
- Ability to build and maintain cloud-based infrastructure on major cloud providers like AWS, Azure, or Google Cloud Platform.
- Experience in data modeling for large-scale databases, either relational or NoSQL.
Qualifications:
Bonus points for candidates with:
- Experience with protocol buffers and gRPC.
- Familiarity with Google Cloud Platform, Apache Beam, Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes.
- Background in working with scientific datasets or applying quantitative science to business problems.
- Bioinformatics experience, particularly in large-scale storage and data mining of variant data.
Exciting Job Opportunity:
This role offers an exciting opportunity to be part of a dynamic team driving innovation in agriculture. Join us at Bayer Crop Science to contribute your expertise towards creating sustainable solutions that address the challenges of feeding a growing global population. Whether based in Creve Coeur, MO or working remotely from another location, this position promises impactful work alongside top-tier professionals.
