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Cybersecurity, Security Information Event Management, Managed Security Operations Center, Managed Security Services, Big Data Security, Managed Threat Detection and Response Service, Managed Detection and Response, MDR, Hybrid AI, Security Operations Center, Threat Hunting, Alerting and Reporting, 24x7 Monitoring, Vulnerability Assessment, Cloud Security, Managed Cloud Monitoring, and Managed Risk.
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5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, including experience with big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines.
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As a Big Data Software Engineer II at JPMorgan Chase within the Employee Platform - Workforce Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
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Consulting and/or CxO/CIO roles with 20+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Big Data, Cloud, etc.) Looking for a place to turn your big ideas into reality.
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Snowflake is a big plus but not a must have – Team will utilize some Snowflake eventually. Data pipeline work, sending data to data warehouse, etc – Currently set up on Java/Spark (MUST HAVE Java/Spark.
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Monitors, analyzes, reports and troubleshoots the existing big data platform. 1-3 years of experience with Cloud Computing (GCP, Big Query, Snowflake) Familiarity with the areas and concepts in Master Data Management, Data Warehousing, Analytics, ERP, and CRM.
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Express has an exciting opportunity for a curious, motivated, forward thinking, analytical software senior data engineer to join and shape the future of the Enterprise Data team for the Enterprise Data department.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. What Data Science contributes to Cardinal Health.
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Perform data analysis, data profiling, data quality and data ingestion in various layers using big data/Hadoop/Hive/Impala queries, Py Spark programs and UNIX shell scripts.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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4+ years of experience with big data technologies such as Azure Databricks and Apache Spark. 8+ years of experience of data engineering such as building and optimizing big-data pipelines, architectures, and data sets or similar job duties.
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Skills Required: Requires experience in the following: Oracle; UNIX; Hive; Performance Testing; Shell Scripting; GIT; Hadoop; Linux; Software Development; Big Data; Ab Initio; Informatica; SQL; XML. Job Location: 1111 Polaris Parkway, Columbus, OH, 43240.
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Derek Bang, the practice founder and inventor of the group's flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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Our mission is to harness the power of Al and big data to propel health research, develop groundbreaking diagnostics and treatments, support disease prevention, and promote health equity for all.
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big data jobs in Columbus, OH
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