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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Minimum of 10 years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, evaluation, documentation, data modeling, design, development, model validation, and data integration.
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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Good to have past experience on few other integration platforms such as Dell Boomi, SnapLogic, TIBCO, WebMethods, Informatica, Oracle, and IBM.Knowledge of cloud integration (iPaaS), service enablement (API), the data integration disciplines of messaging (ESB) for real-time data propagation, service-oriented architecture (SOA) for information sharing, and extract, transfer and load (ETL) for data staging and movement.
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A minimum of eight years' experience in providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, master data management, data quality, data integration.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Databricks, Data Lakehouse architecture, modern data pipelines experience a plus.
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Integration and distribution of data through a single platform, with that platform being a high-performance, highly scalable, elastic and highly secure commercial cloud will enable labor, infrastructure and non-cap tech savings across all participating CDO's as well as in the Optum Care national level.
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Required Skills:Description:We are looking for a Cloud Data Engineer, who will be responsible to plan, design, develop and maintain the data architecture, data models, data pipelines and standards for various Data Integration & Data Lake and Data Warehouse projects in the AWS Cloud.
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Functional andtechnical experience with system and data integration/architecture includingdesign and development of ETL, API (REST and SOAP), MDM, B2B EDI, microservice,and workflow automation.
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Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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A minimum of five years' experience in providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, master data management, data quality, data integration.
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These include, but are not limited to 1) the establishing of a Production environment in Databricks, 2) the orchestration of Unity Catalog for future state and scalability of data, 3) contextualized MLops/MLflow expertise and implementation, 4) additional silver and gold layer transformations relevant to business needs for data science, BI tools, Web App integration, etc.
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The successful Cyber Security Engineer applies current analytical and logical thinking to the design, architecture, development, evaluation, testing, and integration of computer systems, appliances, and networks to elevate the security posture of the program.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
ExpandApply NowActive JobUpdated 7 days ago
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