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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. Job DescriptionWe are looking for a Data Scientist to join our Risk Data team.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Google BigQuery, DataProc, Data fusion, Apache Airflow, Google Cloud Platform, Python, SQL, CI/CD pipelines. Support Data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc.
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Champion standardization, integration, and ubiquity of analytical tools and processes while continuously improving the quality and usability of data assets. Expert in analyzing large, complex, multi-dimensional datasets with data querying languages (e.g. SQL), cloud platforms (AWS, Azure, or Google Cloud Platform), BI Tools (MicroStrategy, PowerBI, Tableau, etc.
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Hands-on experience with data security tools and technologies, such as encryption, data loss prevention (DLP), hardware security modules, and managing a hybrid environment inclusive of public cloud, private cloud, and traditional on-prem.
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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The Battery Scientist will also design unique tests to evaluate battery safety by providing a safety rating system for lithium-ion cells. Equipment Prototyping: Conceptualize and fabricate test setups to generate novel data for battery safety and surrounding technology.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Advanced knowledge of Microsoft software (Excel, Word, Power Point) including advanced excel functions such as pivot tables, Vlookup and Microsoft Visual Basic (VBA) to supplement SQL skills in data analysis exercises.
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Highly preferred: In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Cosmos DB, etc. Design, build, and optimize data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other relevant tools.
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The product owner will represent HR data management and engage with People Analytics, Data Management and Insights, Enterprise Information Security, Enterprise Information Security Architecture and Risk & Audit teams on the HR data strategy across Wells Fargo.
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Proven experience in Master Data Management and Data Governance role, specific to Service Asset Management & MRO processes and MDM scenarios. Collaborate to align master data management and data governance standards, processes, and rollout with the Global ERP rollout.
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Proficiency in various data platforms, tools, and technologies, such as SQL, NoSQL, Hadoop, Spark, Kafka, AWS, Azure, Google Cloud, Tableau, Power BI, etc. is part of the global IT leadership team and is responsible for defining and implementing the data architecture, data governance, data engineering, integration and interoperability strategy and solutions, data analytics, and data privacy across the organization.
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Title: data scientist Company: Cottonwood Financial Administrative Services in Charlotte, NC
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