Spark Data Engineer | ETL, Airflow & Kubernetes

A leading technology company is seeking a Data Engineer with Spark expertise to develop robust data solutions. The successful candidate will write scalable data processing code, design data solutions, and debug applications using modern tools such as Docker and Kubernetes. Candidates must hold a Bachelor's Degree and possess strong experience in data processing with Apache Spark, ETL processes with Airflow, and implementing data protection strategies. Join a company committed to diversity and equal opportunity.

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