At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Data Engineer II 

POSITION PURPOSE:

The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre.

To make this possible, Bayer collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions and everything in between. There is an enormous need and potential here to do something that has never been done before. We need great people to help transform these complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels.

YOUR TASKS AND RESPONSIBILITIES:

• Be a critical member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
• Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
• Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
• Explore relevant technology stacks to find the best fit for each dataset
• Deliver technical initiatives in collaboration with other engineers
• Project your talent into relevant projects. Strength of ideas trumps position on an org chart
• Pursue opportunities to present our work at relevant technical conferences
  • Google Cloud Next 2019: https://www.youtube.com/watch?v=fqvuyOID6v4
  • Google Cloud Next 2024: https://www.youtube.com/watch?v=iafduXqwfMs
  • GraphConnect 2015: https://www.youtube.com/watch?v=6KEvLURBenM
  • Google Cloud Blog:
    • https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes
    • https://cloud.google.com/blog/products/databases/bayer-uses-alloydb
  • Cloud Wars: https://cloudwars.com/cloud/how-google-clouds-alloydb-empowers-bayer-crop-science-to-overcome-data-challenges-cloud-wars-live/
• Foss4G: https://talks.osgeo.org/foss4g-europe-2025/talk/J8PKC7

WHO YOU ARE:

• Experience developing and launching a software product or significant feature written in Go
• Experience building and maintaining data-intensive APIs using a RESTful approach
• Experience with stream processing using Apache Kafka
• A level of comfort with Unit Testing and Test Driven Development methodologies
• Familiarity with creating and maintaining containerized application deployments with a platform like Docker
• Familiarity with deploying to and working with Kubernetes cluster infrastructure
• A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
• Experience data modeling for large scale databases, either relational or NoSQL
• Proficiency in verbal and written English language, capable of connecting with diverse individuals, actively listening to their needs, and supporting meaningful analysis for better decision-making.

Good to Have:

• Experience with protocol buffers and gRPC
• Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine
• Experience working with scientific datasets, or a background in the application of quantitative science to business problems
• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here 

https://www.bayer.com/enfstrategyfstrategy

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.

Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at HROP_INDIA@BAYER.COM.