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Automation-minded: Hands on experience of writing automated tests for backend applications and data flow, using tools such as Postman, REST Assured, Ready API etc. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint.
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Be an expert on Interactive Voice Response (IVR)/Omni channel Self-service & Contact Center solutions & applications. Expert in Cloud Engineering & Operations (SaaS/PaaS Services) – plan, architect, design, deploy, automate, maintenance, monitor and support Cloud based deployments of Prophecy IVR & Customer Experience products, and other dependent Cloud computing tools in proprietary data centers as well as in AWS (Amazon Web Services) Cloud.
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The project is part of a quality improvement effort that centers on health education (including the development of innovative educational media) and data integration between Epic EMR and existing registries and databases to improve patient outcomes for sickle cell disease.
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The Technology Audit Team, also in the US, Europe and Asia, assesses technology and cybersecurity processes across cloud and on-premises application systems and infrastructure components such as databases, operating systems, data centers and messaging platforms.
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As an industry leader, we specialize in commercial and multifamily real estate capital markets financing, servicing loan portfolios, providing asset and portfolio management, and real estate brokerage services on a national basis.
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The Informatica Developer will be responsible for data quality, ETL processes, master data management, data modeling, and data integration on a day-to-day basis. This is a full-time hybrid role for an Informatica Developer at TechMaster Data Solutions located in Atlanta, GA, with flexibility for some remote work.
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Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenShift. Experience working with streaming data and data extraction from different databases (Oracle, DB2, MySQL etc.
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Uploads ESI productions to various document management and review platforms (e.g., Relativity, Everlaw, Eclipse), depending on the needs of a case or the assigned attorneys. Ability to use electronic resources to collect, review, and organize data, provide for its indexing, analysis and retrieval, and for the effective presentation of documentary evidence, cost and other reports and other data, for use by AUSAs during an investigation and in litigation.
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Develop solid and supportable modular designs for data streaming, Cloud transformation/migration, and API product development in support of critical applications. Understanding of data engineering, real time streaming and/or eventing, and json parsing.
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Under minimal supervision, manages the extract of data (syndicated, panel, and others) that is incorporated into reporting tools and templates or provides space management/section merchandising support on assigned categories at assigned customers.
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Creation and support of data-centric products that encompass multiple specializations, platforms, and technologies. Experience with scalable data extraction tools is a plus. Develop data APIs and data delivery services that support operational and analytical applications for internal business operations, customers and partners.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. We are on an exciting journey modernizing our data technologies and ways-of-working to make use of best in-class technologies and truly agile practices.
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Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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As a Data Analytics, Anti-Money Laundering Senior Consultant, you will have the opportunity to be on the forefront of helping clients meet the myriad challenges of financial crime issues.
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Use a data/metrics driven product development approach; define success criteria for roadmap items and demonstrate measurable impact on those success metrics. + Design the data and AI strategy to power scalable learning systems and deliver on objectives.
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