What skills we ask for

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  • Experience building high-performance scalable data warehouses
  
  
  • Experience designing and building intelligent, easy to use data models for optimal storage and retrieval
  
  
  • Experience building data quality checks and monitoring systems to ensure high-quality data sets
  
  
  • Experience with both production databases and data warehouses
  
  
  • Strong Python skills to execute needed data transformations and infrastructure management
  
  
  • 5+ Years of SQL Experience
  
  
  • 5+ Years of Python or similar development experience
  
  
  • Data Operations experience (experience with cloud managed services such as Kafka, ELK, SumoLogic, Spark, Data Cataloging, Airflow, Docker microservices)
  
  
  • Experience building data pipelines using Kafka, Kinesis or related technology
  
  
  • Experience building out production-ready cloud-first data infrastructure is required, preferably on AWS. Desirable to have experience with search engines (ElasticSearch preferred)
  
  
  • Must be comfortable understanding business processes and directly interacting with business stakeholders to ensure quality and completeness of the data we are gathering
  
  
  • Experience building and managing data flows to and from third party systems and APIs (SEO, CRMs, pub/sub apis, email send/track, affiliate marketing, etc.)
  
  
  
  

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  • Experience with Lambda Functions and Docker Microservices is a plus
  
  
  • ECS, EMR, Kubernetes experience
  
  
  • Cloud security and data privacy (GDPR for example)
  
  
  • PostgreSQL
  
  
  • Working in a Ruby on Rails/React environment
  
  
  • Airflow or related ETL framework experience
  
  
  • Have supported BI systems such as Looker or Tableau
  
  
  • Terraform automation scripting (or Puppet, Chef, Ansible, etc)
  
  
  • Recommendation systems and algorithms experience