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Knowledge of Google Cloud and BigQuery environments as a data source for integration into ETL processes. This new role will primarily be responsible for the discovery, design, build and execution of complex data integration efforts to support next generation digital transformation at HUB.
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Data Integration and ETL: Develop and maintain data integration solutions using Salesforce APIs and BigQuery for the extraction, transformation, and loading of data from various sources into a structured data warehouse.
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Implement database standards and conventions in conjunction with guidance from Data Governance and Data Owners. Lead, monitor, and optimize enterprise databases, business intelligence and application integration platforms.
$83,299 - $137,681 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and use integration architecture to guide the Collibra implementation team and the Collibra resident architect with the integration of prioritized content (including structured and unstructured data assets such as licensing agreements, codes, and models) and data sources to enable (and to the greatest extent possible, automate) the import, augmentation, and synchronization of use case implementation.
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Automate data integration processes within Domo to ensure up-to-date insights. Demonstrated working experience utilizing Domo's data modelling, card design, and data integration functionalities.
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Ability to build mock Proof of Concepts for Data Integration with Salesforce, Anaplan, Workday, NetSuite, SQL/Oracle DB, Snowflakeand a variety of Cloud-basedBusiness Systems for potential clients.
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Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools. Experience with data integration, ETL, and data visualization tools.
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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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As a Data Integration Engineer you will be a member of our highly technical production support team, who develops, pro-actively monitors, performs wellness checks and observes the status of File Transfer in the Production and Development environments.
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Sr. Data Engineer Onsite -Troy Michigan-Open to c2c Duties and Responsibilities: The Sr. Data Engineer is responsible in understanding and supporting the businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise.
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The ideal candidate will have experience with Workday integration design and development and the ability to support proprietary OpenShift/Java applications using Oracle data sources to exchange data with Workday and other cloud applications.
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In addition to partnering with customer technical and functional teams, the Senior Data Integration Consultant also works closely with internal teams from pre-sales to ensure proper hand-off, product engineering and management to provide product feedback, and Customer Success to ensure a successful customer experience post deployment.
$87,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Design repeatable and reusable solution architectures and data ingestion pipelines for bringing in data from ERP source systems like SAP. Manage data integration with tools like Databricks and Snowflake or equivalent data lake and data warehouses.
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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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Manages Engineering, Management and Operations (EM&O) systems data standardization and integration with other systems (e.g. ERP, PLM, Quality and Customer Service) and repositories (e.g. SQL, DB, Azure, AWS.
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data integration jobs Title: director Company: Regeneron in Us
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