GoLang Data Engineer

Client Location St. Louis, MO Work location Remote Term 1+ year Work Status GC/USC required Prefer a Native USC but GC/USC works with Perfect Communication No EAD or other status. Resume Longer job history (jobs that are 2 years and some 1 year ( Each job should not be multi pages Resume should not be too long Required Qualifications

• 4 years GoLang
• 8 years Development
• building and maintaining data-intensive APIs using a RESTful approach
• Apache Kafka - Stream processing
• Docker - creating containerized application deployments
• Protocol buffers and gRPC
• Unit Testing and Test Driven Development
• Working in AWS, Azure or Google Cloud Platform, Apache Beam or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes
• data modeling for large scale databases, either relational or NoSQL

Preferred - Not Required

• Experience working with scientific datasets, quantitative science to business problems
• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

If You Share Our Values, You Should Have

• At least 8 years experience in software engineering
• At least 4 years experience with Go / 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

If you are interested or have any references please share resume at mukul@brightmindsol.com.