Data Engineer

Description

ResponsibilitiesCollaborate with data scientists, engineers, and product owners to define and manage new sources of dataWork with data ingestion teams to develop data expertise and resolve upstream issues relating to data qualityDesign and implement data warehouses, realtime ETL, and batch processing of data to support modeling and reporting needsDefine best practices and design for the management of dataPartner with Data Scientists to build and maintain internal data processing and visualization toolsQualificationsRequired Bachelors degree in computer science, information technology/information systems, or a field related to a computational scienceAbility to write efficient SQL queriesExperience managing data ETL processes and making data available through service applications and databases.1+ years experience with NoSQL databases (Cassandra or Elasticsearch preferred)3+ years experience with programming languages (Python, Java, R, and/or Scala preferred)Familiarity with a variety of data processing technologies (e.g. Spark, Kafka, Hadoop)Excellent communication skills, including a knack for clear documentation Experience with or knowledge of REST APIs and making data available through microservices.Experience using version control (Git, Mercurial, SVN, etc.) for collaborative code development.Preferred MS or PhD in Computer Science or other technical fieldAbility to architect data solutionsPrevious experience in machine learning and its applicationsSome knowledge of machine learning and data science processesExperience supporting data science and analytical efforts is preferredExtensive knowledge of machine learningWhy Work Here