Staff Data Engineer (PySpark)
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Le poste
Design and evolve scalable, distributed data infrastructure across cloud platforms to support analytics and AI workloads.
Build and maintain real-time and batch data pipelines for analytics and ML use cases.
Develop and manage integrations with third-party e-commerce platforms to broaden data ecosystems.
Ensure data availability, reliability, and quality through monitoring, auditing, and automated controls.
Partner with engineering, AI, and product teams to deliver data solutions for high-impact initiatives.
Mentor data engineers, establish best practices, and uphold code quality standards in production systems.
Build and maintain real-time and batch data pipelines for analytics and ML use cases.
Develop and manage integrations with third-party e-commerce platforms to broaden data ecosystems.
Ensure data availability, reliability, and quality through monitoring, auditing, and automated controls.
Partner with engineering, AI, and product teams to deliver data solutions for high-impact initiatives.
Mentor data engineers, establish best practices, and uphold code quality standards in production systems.
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