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Develop data migration strategies and processes, ensuring data quality and consistency across platforms, utilizing Azure Data Migration Service and Azure Database Migration Service.
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Transition and Implementation: Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Responsible for leading the data migration activities to success (deliver the agreed scope of data within the project timeline with high quality and high satisfaction). The SAP Architect-Data will be responsible for leading data migration projects to success during SAP implementations.
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Assist with the data migration effort from current grants management systems. Analyze data in SmartSimple to ensure data quality. In 2016, the foundation launched the Flatiron Institute (FI), a multidisciplinary institute whose mission is to advance scientific research through computational methods, including data analysis, modeling and simulation.
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Design migration strategies to move clients' data infrastructure to modern database platforms (including experiences with Databricks, mandatory; Snowflake, nice-to-have.) Provide guidance and expertise on data governance, data security, and data quality management.
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Deep understanding of Integration & Data Migration methods/tools within D365 CRM. Enterprise Technology’s CRM Sales Excellence group enables high quality service delivery to Global Markets stakeholders through the strategic use of technology and in coordination with Mercury, CDW, MDM, PACE and AEM teams.
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Understanding of data governance, data quality, and data migration best practices. Oversee and participate in technical data migration activities for the manufacturing ERP, MES, and QMS systems.
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Activities may include data quality engineering, metadata consolidation and integration, metamodel development and maintenance, repository management, data warehouse design and data mining, data security administration, and formulation of enterprise-specific data metrics.
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Experience with defining and operationalizing data strategy, data governance, data lineage and quality standards. Experience in architecting and large data modernization, data migration, data warehousing experience with cloud-based data platforms (like Snowflake.
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Our team has a Technical ELINT analyst position available 9/28/2023 with demonstrated experience providing TECHELINT/TECHSIGINT & EW Data systems requirement analysis, technical guidance for data management/interoperability, database design and development, data standardization and maintenance, data migration, and content quality assurance.
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Experience in Data Testing, Data Conversion, Data Migration, Data Transformations, Data Profiling, Data Analysis and Data Quality Validation.
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Experience with data security and data access controls and design across digital transformation/cloud migration programs. Expertise in Data warehousing - data modelling, relational and Dimension modelling, Data quality, data catalog and Data Governance.
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Interacting with data quality systems and processes, data management and data operations workflows and processes; Applying leading design and implementation practices related to end-to-end data lifecycle for one or more of the following: enterprise cloud data hubs/exchanges, middleware systems, data conversion/migration for business applications (e.g. CRM, ERP), edge applications (e.g. mobile devices.
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Providing oversight and guidance by utilizing your extensive experience with the implementation of Data Integration tools, such as SnapLogic, Mulesoft, Databricks, AWS Kinesis & Glue, Azure Data Factory, Informatica Cloud, SQL, Python/PySpark, Jupyter Notebooks and similar technologies.
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