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· Deep understanding and application of modern data processing technology stacks 3+years (Hadoop, Spark, Hive, HBase, Kafka, etc.).
· Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing
· Experience with data pipeline and workflow management tools such as Airflow, Oozie
· Ability to drive adoption of Data Engineering best practices and sharing your knowledge…

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