• 10+ years in data engineering, including 3+ years with production graphs.
  • Hands-on expertise with AWS Neptune or Neo4j.
  • Strong Python or Java, and experience with AWS data services.
  • Experience with Spark, Kafka, or Airflow, plus infrastructure as code.
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