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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Bachelor's degree in a quantitative or relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, or Data Science. Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect, or ETL Developer.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Azure Data Factory, Azure Databricks, and Snowflake is highly preferred, but similar cloud technology experience will be considered. Embrace the chance to influence key business initiatives, grow your expertise in leading technologies like Azure Data Factory and Databricks, and be part of a company that values your contributions and fosters your professional growth.
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You will analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. o Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualications -Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience-Experience implementing software applications supporting data lakes, data warehouses and data applications on AWS for large enterprises-Professional with 14+ years of IT experience in Requirement gathering, Design, Development.
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Strong understanding of regulatory requirements and compliance issues affecting clients related to privacy and data protection, such as PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border, and U.S. State Data Privacy Laws.
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Works in tandem with the Director of Institutional Effectiveness and Assessment, the Assessment Information Systems Manager, and the Assessment Specialist to use evaluation and assessment software (e.g., Examsoft, NBME Proctor, Leo, LCME Curriculum Inventory Portal) to support data collection and run reports on medical school courses, programs, curriculum phases, exam results, course grades, and clinical rotations.
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Admission and Recruitment Marketing, the Generalist/Data Processing Clerk works as part of a team to. The Generalist/Data Processing Clerk will handle general. the Generalist/Data Processing Clerk will.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$107,659 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.
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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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Nice to have - Post-graduate qualifications in computer science, data engineering or related. Works closely with data source owners and Data Science teams to shape and deliver right plans.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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data job Title: high school science teacher in Roseland, NJ
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