Role & Responsibilities  Minimum 10 years of Data Engineering experience and at least 5 years in large scale Data LakePlatform ecosystem Expertise in Data Lakehouse architecture and end-to-end Databricks techniques including Data Science components Proven in-depth experience in Databricks, Spark, PythonSQL, Scala, Kafka, Streaming, events, bots, AWScloud ecosystem Have worked on multiple TBsPBs of data volume use cases from ingestion to consumption Worked on end-to-end data lifecycle from Data Ingestion, Data Transformation, and Data Consumption layer