Data Engineer

Job description Requirements:
10+ experience as an enterprise Data Engineer from a consulting background
Proven experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
3+ year's experience in Python programming language
Software development experience working with Apache Airflow, Spark, MongoDB, MySQL
Strong capacity to manage numerous projects are a must
Experience using Docker or Kubernetes is a plus
BS/MS degree in Computer Science or equivalent industry experience
Ability to identify and resolve problems associated with production grade large scale data processing workflows
Excellent communication skills (we're a geographically distributed team)
Experience creating and maintaining unit tests and continuous integration.
Passion for creating Intelligent data pipelines that customers love to use.