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Herglez is seeking a senior cloud data engineer to design and implement scalable data pipelines and modern cloud architectures for enterprise clients. You will build automation, optimize cost and security, and ensure real-time data processing capabilities.
The role requires 7+ years in cloud architecture, multi-cloud experience, and strong SQL/BI tooling skills to deliver data-driven insights for diverse stakeholders.
Build and maintain data pipelines and automation systems using Python, cloud services, and modern data engineering practices.
Design and implement cloud architecture solutions for enterprise clients, focusing on scalability, security, and cost optimization.
Design and build scalable data infrastructure, ETL pipelines, and real-time streaming systems for high-volume applications.
Partner with clients to understand business requirements and translate them into technical solutions and data-driven insights.