Leads a 10-15 person data engineering team, staying ~80% hands-on building large-scale streaming pipelines with Spark Structured Streaming, Scala, Kafka, and Databricks (preferably on GCP), while handling architecture reviews, mentoring, reporting, and coordination with onshore tech leads.
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