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Experience in big data technologies like Apache Spark and/or Kafka. Java, Python, K2View, Linux/Unix, Cassandra and AWS. The system scope is complex due to high volume of data, text and voice usage and large bill cycles to bill our customers (e.g. Rating 4B usage records in 6 hours, involving large customers with 2-3 million lines.
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Ability to perform basic data queries and create executive summary data visualizations using SQL, Google Data Studio, Tableau, Alteryx, Qlik etc. Audit experience in a Big 4 Public Accounting firm or Risk Management experience including performing assessments, designing controls, and managing enterprise control frameworks.
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Experience in data ETL from different data sources, at different scales (big data and small data), and of different formats; Cloud computing experience a plus. At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities.
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As a member of the VBG Enablement team, within the Artificial Intelligence and Data (AI&D) organization, you will lead a portfolio of innovative projects to enable AI, Machine Learning and Big Data initiatives - supporting growth and digital transformation in the Verizon Business Group (VBG.
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Strong understanding of data analytics, operational auditing, and business processes. You will be on a team of change agents, providing objective evaluations of global network and technology processes to make Verizon even better.
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If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. Verizon is one of the world's leading providers of technology and communications services, transforming the way we connect around the world.
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The role is responsible for 1) identifying hybrid big data architectures, 2) defining connectivity options for new data sources, 3) analyzing data workflows for efficient data delivery in a real-time environment; 4) partnering with VBG teams, the Verizon Network teams, and Verizon Technology teams to identify network architecture needs; 5) documenting architecture solution; and 6) monitoring data flows and network performance.
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Proficiency in big data technologies (e.g., Hadoop, Spark, Kafka, Cloudera). Five or more years experience in designing and implementing big data solutions, with a comprehensive understanding of both cloud (AWS, Google Cloud Platform, Azure) and on-premise environments.
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Verizon Network Security is looking for a talented and motivated Software Engineer with a good understanding of software development, automation, big data, machine learning, and related technologies.
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