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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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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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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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Responsible to build strategic and technical capabilities to enable an end-to-end data governance, data quality, and master data management strategies, including solutions for integrating the data governance and MDM solutions with all consumers & consuming functions/platforms.
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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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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (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), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
$116,200 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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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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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Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing data gaps, build monitors to detect data quality issues and partner to establish a self-serve environment.
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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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Utilize dbt to manage data transformation workflows and ensure data quality and consistency across all platforms. The Data Engineer needs to be proficient with Matillion, Snowflake, and dbt in a hybrid Azure cloud environment.
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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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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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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: data scientist Company: Deloitte in New York, NY
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