Engineering Manager, Velocity Squad

• Solid understanding and experiences with backend, operations, and data engineering. Technologies you’ll have to touch upon include
  • AWS,
  • Go,
  • Python,
  • Node.js,
  • PHP,
  • MySQL,
  • redis,
  • memcached,
  • Docker,
  • Kubernetes,
  • Kafka,
  • Airflow,
  • Spark,
  • Terraform,
  • Ansible,
  • TravisCI,
  • DataDog,
  • SumoLogic, and
  • PagerDuty

https://company.wattpad.com/work-at-wattpad/detail?id=0dbb3c47-6d0d-4167-9d63-9f9b357c4f8b

Head of Data

• Broad knowledge of data science, data engineering, and data analytics, with expertise in at least one of these disciplines (but two preferred), including areas such as:
  —> Applied machine learning in areas such as natural language processing, information retrieval, recommendation systems, and computational advertising
  —> Large scale experimentation: experimental design, adaptive experimentation methods (such as bandit optimization and reinforcement learning), contextual decision-making, automated A/B testing
  —> Data engineering:
  • distributed systems,
  • AWS/GCP,
  • Hadoop/Spark/Kafka/HBase/Cassandra/ElasticSearch and
  • data pipelines
    

https://company.wattpad.com/work-at-wattpad/detail?id=e6d6939b-c06d-4b3a-95dc-db83b69c4565