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Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
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Design and implement the enterprise data management platform, including a data lake architecture, data analytics, machine language, artificial intelligence, data visualization, and data interoperability and integration for internal and external data feeds and sources, data storage solutions, including robust Big Data Tools solutions for the command.
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Experience with data modelling for large scale cloud, MPP and big data platforms - Databricks, Spark SQL, Snowflake, Azure SQL database. Develop and maintain data dictionaries and other data governance documentation.
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Solid technical experience in datalake, data warehouse and data mart design, batch/real-time data integration (ETL/ELT), data visualization, and data analytics.
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Knowledge of best practices related to Data lakes, Data lake governance, Data Security (e.g., HITRUST), and Data Integration & Interoperability. Architect, design, and build a big data infrastructure platform, primarily based on Hadoop technologies on the Azure cloud platform, ensuring that the data lake meets specific minimum availability and security thresholds.
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Knowledge of data governance, data quality, and master data management principles. Proficiency in data integration tools and technologies, such as ETL tools (e.g., Informatica, Talend) and data replication technologies.
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Act a subject matter expert on one or more areas of database design, big data, cloud deployment, microservices, integration and has advanced knowledge of applications programming and can ensure application design adheres to the overall architecture blueprint for Services.
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Design and implement the enterprise data management platform, including a data lakehouse architecture, data analytics, machine language, artificial intelligence, data visualization, and data interoperability and integration for internal and external data feeds and sources, data storage solutions, including robust Big Data Tools solutions for the command.
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Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL, cloud, and big data technologies.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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In addition, you will help our clients modernize their information management approach and procedures for areas such as: "agile" governance for big data, practice management and many other rapidly evolving opportunities.
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Experience with Enterprise Data Governance, Big Data Solutions, Master data management, Data Privacy and Security, Machine Learning, and Data Pipeline Operations.
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Assisting in the strategy and implementation of Master Data Management, Data Governance, Enterprise Data Management, Enterprise Content Management and Knowledge Management using modern techniques and approaches.
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Experience in analytics as it relates to Business Intelligence, Big Data Warehousing, Data Modeling, Data Integration, Data Governance, Data Observability tools.
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big data governance integration jobs Title: architect
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