Sr Data Engineer (Scala/Spark)

Bachelor’s degree in Engineering, Computer Science, Information Systems or related field with 5+ years of relevant experience 1+ years in Data Modeling, Data architecture, Data Quality, Metadata, ETL and Data Warehouse methodologies and technologies Demonstrated experience as an engineering lead implementing scalable, distributed, highly available systems using cloud technologies (AWS) Experience in any combination of: SQL, AWS EMR/Lambda, Iceberg, Linux, Python, Web technologies, APIs, Spark, Scala 2+ years’ experience with AWS tech stack Basic understanding of relational data modeling

Build data pipelines to land, profile, and store internal & external datasets Build applications that surface data to support business partners Contribute to the overall Data Product roadmap Propose and design creative business solutions leveraging technology toolset