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As a Cloud Data Architect, this role will be instrumental in enhancing and supporting our Enterprise Cloud Data Warehouse currently on Snowflake. At least 2+ projects operating in Lead Data Architect role.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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The SAP Architect-Data will be responsible for leading data migration projects to success during SAP implementations. Partner with the SAP Architect-Business Process to ensure the proposed design aligns with available data, and, if required, offer suggestions to enrich or transform data to meet the design.
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The Principal Enterprise Data Architect should have an in-depth understanding of healthcare data and analytics, data warehousing, Business Intelligence, Epic Cogito, cloud computing, how to leverage data science solutions and AI, and electronic health records platforms.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Keep list of data steward up to date in the data governance catalog. Support implementation of data governance capabilities in the data catalog platform. come and join our global team as a Data Governance Intern.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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As part of this exciting and important endeavor, UCSF seeks a highly qualified Senior Data Engineer / Architect. Senior Data Engineer / Architect. Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, AWS Glue, IBM InfoSphere DataStage, or any ETL applications.
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. Develop strategies, standards and best practices in the areas of machine learning, data visualization and data integration and lead adoption throughout Ignite.
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Use of statistical and programming software (e.g. SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis.
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I, Must be a Certified Oncology Data Specialist (ODS) by National Cancer Registrar Association. Under the general supervision of the Oncology Data Manager, this position is responsible for the identification of patients with cancer.
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Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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Joining as Senior Business/Data Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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data job Title: data architect Company: Bae Systems
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