Sr. Big Data Engineer

Аналитика рынка

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Описание

Accountabilities - Engineer and maintain large-scale big data solutions and multi-tier data environments supporting complex government and enterprise applications. - Lead initiatives that leverage big data technologies to generate actionable insights and address strategic and tactical mission objectives. - Design, develop, and maintain enterprise data models using data modeling tools such as ERwin and Microsoft Visio. - Build high-performance algorithms, prototypes, and data models using programming languages such as Python, C/C++, Java, Perl, and Scala. - Analyze and develop data processing workflows for data ingestion, modeling, mining, and transformation. - Contribute to machine learning, natural language processing (NLP), and MLOps initiatives that support advanced analytics and AI capabilities. - Develop and support AI roadmaps, prepare return-on-investment (ROI) business cases, and contribute to model validation and governance practices. - Work with Hadoop-based technologies and NoSQL data platforms to support large-scale data processing, storage, and analysis. - Integrate big data solutions with SAP technologies and enterprise data environments. - Contribute to the modernization and sustainment of mission-critical applications, supporting improvements in system performance, reliability, and data-driven capabilities. - Requirements A bachelor's or master's degree is required. - At least eight years of relevant professional experience. - An active Secret security clearan

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