Design and develop AWS-based data platforms, build and maintain ETL pipelines using PySpark, perform data modeling and governance, integrate event-driven systems with Kafka, manage containerized deployments with Docker and Kubernetes, and produce clear documentation while collaborating with stakeholders.
We are seeking an experienced AWS Data Engineer with expertise in data integration, ETL services, and data governance. The ideal candidate will design and develop data platforms, ensuring high-quality data transformation and integration. Key responsibilities include data modeling, implementing ETL pipelines using PySpark, and managing containerized deployments with Docker and Kubernetes. Experience with event-driven architectures (Kafka) and AWS cloud services is essential. Strong documentation and collaboration skills are required.
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