Data Engineer/ GoLang Developer

Data Engineer

• 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 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

o Google Cloud Next 2019:

o GraphConnect 2015:

o Google Cloud Blog:

• Project your talent into relevant projects. Strength of ideas trumps position on an org chart

You should have:

• At least 7 years experience in software engineering

• At least 2 years experience with Go

• 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