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About Xentity We are a fast-growing data consulting and support services firm - focused on large data programs in data types such as geospatial, open, big, and IoT data.
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Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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Technical experience with defensive tools for actioning threat intelligence including tools like SIEM/Splunk, EDR, Big Data Platforms, etc. Technical experience with defensive tools for actioning threat intelligence including tools like SIEM/Splunk, EDR, Big Data Platforms, etc.
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Who We Seek If you are someone who is mission-driven, humble in your reflections about your practice, smart in the ways you approach data, and results-oriented, we’d love to see you apply. School-based staff members will work towards 2 or 3 metrics that are aligned to both their individual roles AND the Big 5.
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Semios is a market leader in leveraging the internet-of-things (IoT) and big data to improve the sustainability and profitability of specialty crops. With 500 million data points being reported by our sensors every day, we leverage our big data analytics, such as in-depth pest and disease modeling, to empower tree fruit and tree nut growers with decision-making tools to minimize resources and risks.
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Develop solutions across multiple architecture domains (application, data, integration, infrastructure, and security) using technologies such as APIs, integration/middleware, mobile, web technologies, and service-oriented architecture.
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We use cutting-edge technologies like AI, machine learning, cloud computing, and big data analytics to protect investors and ensure market integrity. Drive alignment and implementation of an enterprise-wide Data Governance operating model, ensuring a clear understanding of data ownership and stewardship with well-defined processes and roles.
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As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
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Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
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As DB/Google Big Query Lead Developer/Sr. Developer with strong hands on google platform, Big Query/Spanner, Informatica tool, maintenance of complex SQL queries and Data warehouse concepts.
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Hive/Hadoop or experience working with big data platforms. Visualization tools - Tableau (ideal) anythign is fine though Data Analysis skills; ability to gather requirements from the business.
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Typically requires 3 – 5+ years of related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing. The role requires the ability to bring together disparate datasets to provide data analytics and reporting on agent performance activity.
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We're the ones behind the amazingly crafted content that streams across your laptop, TV, phone, and tablet every day—and we harness the power of big data to help companies move from data to insight and insight to action by delivering quality content.
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Our cross-industry solutions are powered by modern technology,market intelligence, and big data to drive purposeful change and actionableoutcomes. AArete is a global management and technology consulting firm specializing instrategic profitability improvement, digital transformation, and advisoryservices.
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Experience with information security for No SQL, Big Data , and unstructured data stores (Cassandra, Hadoop, and /or Teradata) + Has a solid grasp of security in big data and other instructed large data structures.
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big data jobs in Denver, NH, Maryland
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