Data Engineer

Build data pipelines and python-based ETL tools for acquiring, processing, and delivering data Develop data models and schemas in our data warehouse that enable performant, intuitive analysis Handle the challenges that come with managing terabytes of data Collaborate with business leaders and analysts to define key metrics and build reporting to monitor and understand company performance Develop the server applications and APIs that are used by our Data Team Qualifications Bachelor s degree or higher in Computer Science, Computer Engineering, Information Technology or related field Fluent in several programming languages such as Python, R, or Scala 6 years of work experience in building ETL pipelines in production data processing and analysis Experience designing SQL tables, choosing indexes, tuning queries, and optimizations across different functional environments. Hands-on experience writing complex SQL queries and using a BI tool Experience with data lakes and designing and maintaining data solutions using Spark and Azure serverless services such as ADF Familiarity with data ingestion APIs, data sharing technologies, and warehouse infrastructure and development