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Hands-on experience and proficiency in Data Governance tools like Informatica IDMC, Collibra, and Alation across all DG capabilities, aka, Data Catalog, Metadata Management, Glossary, Lineage, Data classification / Access / Security, Data Marketplace.
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Master proficiency in data sharing processes, data access, and data taxonomy. Familiarity with big data technologies and frameworks. Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications.
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Understanding big data objectives, concepts, and technologies such as Hadoop; Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, ACL, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview, Einstein Analytics.
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Our BusinessWe are a global leader in environmental consulting - made stronger with the recent acquisition of Wood’s Environment & Infrastructure business and Golder - with world-class expertise in environmental, social and governance (ESG), climate resiliency & sustainability (CRS), and earth sciences.
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Domain Enterprise Architect will interface with application (front-end/back-end), Security, Data privacy, DevOps, and Infrastructure, delivery architects, BRMs, PMO’s and IT/Business stakeholders while partnering on the technical and business architecture governance by delivering the business capabilities, Macro processes interconnectivity with IT applications, and services.
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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.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s data processor SonicJobs. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
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Through the model of Shared Governance, collaborate with all members of the health care team with a focus on promoting evidenced based care within a healing culture for the patient population served and their families.
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We are leaders in managing data using the latest cloud information management and big data technologies. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management.
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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Experience working in agile and iterative environment, including running scrum project as a scrum master and/or product owner.
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Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and NoSQL databases. Stay current with industry trends, best practices, and emerging technologies in data engineering and big data processing.
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Experience and solid knowledge of Pharmacovigilance specificallyProficiency in one or more of these additional areas is a plus: CMC/Mfg., Clinical development and trial execution, Regulatory, Real-World Data and Real-World Evidence, Cell and Gene Therapy, Medical Device, IVD/CDxExperienced in understanding and interpreting regulatory guidelines and documents.
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They will assist with financial data governance, financial application security governance and process improvement projects for global finance and accounting teams. Collaborate with finance and accounting process owners to maintain the Financial Data Governance processes, data and systems.
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Experience in design, modeling and simulation of millimeter-wave wireless and transceivers, data converters and PLLs. Experience in high-speed circuit simulation and characterization using Cadence Spectre, Agilent ADS or GoldenGate and 3D EM simulators.
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Working knowledge of Enterprise Risk Management, Business Resiliency, Data Governance, Information Security and Risks associated with AI is highly desirable. Provide necessary data points, guidance and build operating procedures to determine automation and artificial intelligence operate optimally and are frequently reviewed for continuous improvement.
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