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Lead design and implementation of large-scale data processing systems and pipelines for Big Data workloads. Collaborate with data scientists, analytics, and product teams to build reliable, scalable data infrastructure using distributed technologies such as Hadoop, Spark, and cloud data services. Mentor and guide junior engineers, conduct code reviews, and drive best practices in software engineering and data processing. Own technical direction for data platforms, performance optimization, and data governance, delivering impactful business insights.