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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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As a Cloud Data Architect, this role will be instrumental in enhancing and supporting our Enterprise Cloud Data Warehouse currently on Snowflake. The ideal candidate will have a strong background in data architecture, experience with Snowflake Cloud Data Warehouse, and proficiency in ETL processes.
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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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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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Role: Data Warehouse Engineer (Pyspark/ Python, Azure and Snowflake) Au minimum 10 ans d'expérience dans la conception et la mise en œuvre d'une solution de données à grande échelle en production opérationnelle sur Microsoft Azure Snowflake Data Warehouse.
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We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
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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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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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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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Experience - Minimum of ten (10) years of data experience in any combination of the following: Epic Cogito (Radar, Reporting Workbench, SlicerDicer, Epic Analytics Catalog, and their data warehouses: Clarity, Caboodle, Chronicles) Microsoft Azure cloud/Fabric, Synapse, Purview, Power Products (Power BI, Power Apps, Power Automate, Power Pages.
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data job Title: data engineer Company: Datarobot
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