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Working with terradata, hive, spark, tableau, postgres, other big data systems with Verizon grid computing infrastructure. Knowledge of big data tools (SQL, Spark, and Splunk) ie.
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1+ year(s) of experience in Cloud data engineering, preferably Google Cloud with Big Query. Teradata/ Big Data Analytics Certification. Manage all marketing related projects on Big Data/Cloud platform including design of new applications and training other developers.
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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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As a Senior Data Scientist, you'll lead projects that develop and perform complex analyses using Big Data technologies. Five or more years of active experience in Data management, analysis and visualization to realize absolute and incremental commercial gains.
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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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Demonstrated experience writing queries for reporting, analysis and extraction of data from big data systems. Exploring research in the data science field and utilizing open source research results for the improvement of customer facing products.
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Familiarity with business systems & data warehousing concepts. Translating business challenges and pain points into data-driven solutions. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon.
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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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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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Experiences in designing, developing, optimizing, and troubleshooting complex data analytic pipelines and ML model applications using big data related technologies such as Spark or Hive.
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Experience with one or more of the following data analysis tools such as: Alteryx, Qlik, Google Data Studio, R Studio, Tableau, Oracle, Microsoft SQL Server, Visual Basic, Microsoft. Audit experience in a Big 4 Public Accounting firm.
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Providing technical leadership and guidance to data engineering teams, facilitating knowledge sharing and best practices in big data management. Demonstrated experience in big data analytics, data insight, and machine learning modeling.
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