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Big Data Architect – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Hands-on with Google Cloud services for data engineering- Dataflow, Data Proc, Big Query, Composer, Pubsub. Experience with Airflow/Composer or Tidal to orchestrate the data pipelines.
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The successful candidate will have experience with more than one of the following; analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration.
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Understanding of industry standards like Pershing, FINRA/SEC, LIMRA, DTCC/NSCC, Morningstar, SMA/UMA, and Advisory Platform will be considered big plus. Understanding of cloud technologies to design modern data analytics platform to support Data Visualization, Traditional Reporting, Advanced Analytics and Operational Data Stores Strong understanding of DevSecOps concepts with automaton Expert level knowledge of existing, new, and emerging technologies and being able to apply them to new business designs and business models.
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Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3. Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support Client therapeutic target identification and disease bio marker discovery.
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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.
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Key Responsibilities:Design, architect, and engineer big data solutionsDevelop a modern data analytics lake housePropose and standardize ELT, BI, AI, governance, and analyticsPublish enterprise ingress, development, transform, egress, consumption guidelinesInstrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Passionate about security and data protection.
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Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns – but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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Analytics - Data Lake solutions, Big Data, Hadoop - MapReduce, Apache Spark. Due to rapid growth, Oracle Government Defense and Intelligence (GDI) is seeking several Pre-Sales Solution Engineers that have a passion for cloud concepts, and system integration, and cloud migrations that can support customer facing engagements along with several internal Oracle sales efforts.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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Strong experience architecting big data solutions using Data Lake, Data Warehouse , Data Products. Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering.
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Director, Claims Data Scientist (REMOTE) page is loaded. Director, Claims Data Scientist (REMOTE) The Hartford seeks a Director of Data Science within Claim Data Science to lead a team of Data Scientists, namely for the Workers Compensation and Group Benefits lines of business, and develop machine learning and artificial intelligence solutions across a range of strategic.
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Understanding of big data concepts. The Director, Analytics & Data Quality will work with the Data Quality Committee, participating organizations, EHR vendors, internal and external IT resources, and others directly to promote interoperability with the HIE.
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big data jobs Title: hadoop consultant in Hartford, CT
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