Job Description :
What you will do is why you should join us:
Be a critical senior member of a full-stack data engineering team focused on creating
distributed analysis capabilities around a large variety of datasets
Take pride in software craftsmanship, diving deep into code and constantly innovating
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
Pursue opportunities to present our work at relevant technical conferences
Project your talent into relevant projects. Strength of ideas trumps position on an org
chart
If you share our values, you should have:
Fluency in Java or Scala (5 years)
Proven experience (2 years) building and maintaining customer-facing APIs in modern
REST frameworks such as Akka HTTP, Spray or Play!
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
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
Demonstrated ability to solve complex problems
Bonus points for:
Experience with: the Go programming language, Google Cloud Platform, Apache Beam
API and or Google Cloud Dataflow, protocol buffers and gRPC, Google Container
Engine (GKE) or Kubernetes
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

Project Description

Client 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.


Client : The Climate Company

             

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