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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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You will oversee the integrity and quality of provider data, ensuring compliance with industry regulations and collaboration with various departments to enhance network operations.
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As a member of this team, the Lead Data Integration Engineer will be responsible for DTCC’s data integration and management activities using the Informatica Data Quality & Data Integration Hub and supporting other technologies such as Talend tool suite.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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Proficient in applying data management, data governance, and data quality processes and tools to correlate disparate sources. Experience with Azure products and services including Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services.
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Mechanical Quality Inspectors perform detailed mechanical inspection of products for compliance to the technical data package via in-process, finishing and final inspection phases. Identify and communicate continuous improvement opportunities for the quality program for customers internal and external.
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Minimum of 2 years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Help define data quality metrics associated with the quality of data ingested into Collibra.
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Coordinate with Program Leads, Biostatistics, Data Management, Medical Affairs, Pharmacovigilance to develop/implement Phase appropriate procedures to ensure consistency and quality with respect to Clinical Trial support activities.
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Familiarity with data governance practices, data quality frameworks, and data security principles. A day in the life of a Data Engineer states with building and delivering high quality data architectures and pipelines that support clients, business analysts, and data scientists.
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Knowledge of integration with Informatica MDM, Data Quality & Address Doctor. Experience in capturing requirements around Data Quality and error handling leveraging. Informatica MDM PIM/P360 Consultant , in this role, you will work with the clients on their MDM journey to facilitate and lead the master data management engagements which will include data migration, MDM assessment, implementation, tool implementation across different verticals.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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Compiles and stores/retains quality data in a consistent, organized and easily retrievable manner. For 60 years, Quality Metalcraft (QMC) and Experi-Metal Inc (EMI) have been leaders in innovative structural solutions for the mobility industry.
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The Data Engineering Manager will play an integral role in developing and expanding a nascent core capability for the company by overseeing the acquisition, quality assurance and delivery of large volumes of data in support of the Newell Central Analytics team.
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data quality jobs Title: operations lead Company: Ey in New York, NY
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