Senior Data Engineers
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Chicago, IL 60602
Develop compelling proofs of concept for data solutions using emerging technologies for real-time and big data ingestion and processing. Contribute to designing, building, and deploying high-performance production platforms/infrastructure to support data warehousing, real-time ETL, and batch big-data processing; help define standards and best practices for enterprise usage. Design, build, and maintain processes and components of streaming data/ETL pipeline to support real-time analytics (from requirements to data transformation, data modeling, metric definition, reporting, etc.). Focus on data quality – detect data/analytics quality issues all the way down to root cause, and implement fixes and data audits to prevent/capture such issues. Collaborate with data scientists to design and develop processes to further business unit and company-wide data science initiatives on a common data platform. Translate business analytic needs into enterprise data models and ETL processes to populate them.