Summary from listing
The Data Engineer will join the data platform team to build and maintain scalable, real-time data pipelines that ingest transaction-level data from enterprise systems such as ERPs, CRMs, databases, and APIs. The role involves data transformation and modeling, in-memory and distributed processing with Apache Spark, real-time and incremental refreshes, data access controls, quality and governance, and integration with BI tools. Candidates need a bachelor’s or master’s degree in a relevant field, 3–5+ years of data engineering or backend data infrastructure experience, and proficiency with SQL, Python, or Scala.
