Senior Data Engineer
Senior Data Engineer
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5years
$ 65 - 65
1 Vacancy
Job Description
This is a remote position.
- Be a critical senior 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 toplevel 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
- Project your talent into relevant projects. Strength of ideas trumps position on an org chart
Requirements
- At least 7 years experience in software engineering
- At least 5 years experience with GoLang
- Proven experience 2 years) building and maintaining dataintensive 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
- 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
- Experience with protocol buffers and gRPC
- Experience with: Google Cloud Platform Apache Beam and or Google Cloud Dataflow Google Kubernetes Engine 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
Requirements: At least 7 years experience in software engineering At least 5+ years experience with GoLang Proven experience 2 years) 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 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 Bonus points for: Experience with protocol buffers and gRPC Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine 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
Employment Type
Full Time
