Data Engineer,

Description

Job ResponsibilitiesDevelop robust and scalable data infrastructure components for monitoring and tracking, messaging, realtime streaming and batch data processing use cases.Integrate and productionize machine learning and statistical models into realtime services, as well as BI & Visualization layers.Work closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale.Provide engineering leadership in the the design and architecture of data infrastructure and applications.Job Requirements2+ years of experience with big data processing in Spark, Hadoop, Hive and/or Redshift.Expertise with Java or Scala.Experience designing and developing data models, integrating data from multiple sources, building ETL pipelines, and supporting all aspects of the software development lifecycle.Strong SQL programming knowledge and experience.Experience developing web services, API integrations, and data exchanges with third parties is preferred.Ability to communicate quantitative analysis and analytical findings in a clear, precise, and actionable manner.Energetic, enthusiastic, detailoriented, and passionate about producing highquality analytics deliverables.Knowledge of basic statistical analysis and machine learning a plus.MS/BS in Computer Science, MIS, Mathematics, Physics or other quantitative field or relevant work experience.