AWS Data Engineer

Reposted 3 Days Ago
Irvine, CA, USA
In-Office
Mid level
Information Technology • Professional Services • Software • Consulting
The Role
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.
Summary Generated by Built In

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.

 

Skills Required

  • Experience implementing ETL pipelines using PySpark
  • Experience with AWS cloud services
  • Experience with containerized deployments using Docker
  • Experience with Kubernetes for orchestration
  • Experience with event-driven architectures (Kafka)
  • Data integration and ETL services expertise
  • Data governance experience
  • Data modeling experience
  • Strong documentation and collaboration skills
Am I A Good Fit?
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The Company

What We Do

Comspark International Inc. is a global software and engineering consulting firm specializing in the development and maintenance of web-enabled solutions. The company provides a wide range of cutting-edge IT services, including software development, outsourcing, and enterprise application solutions such as ERP, AI, and blockchain. They assist clients across various industry domains by creating and implementing specialized technology solutions to drive business efficiency.

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