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Managing and executing large finance, enterprise and/or data architecture transformation programs; Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Ensure visual quality of all deliverables including user experience design, consistency, and standardization Ensure data quality of all deliverables, conduct thorough unit testing, and facilitate user acceptance testing cycles.
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The Head of R&D Automation platform is responsible for leading the technical design, implementation, testing and deployment of automated processes to accelerate Takeda's portfolio starting with preclinical research and ending with submission with the objective to improve efficiency and data quality across the entire business and data flow.
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The Data Intern will work on projects such as customer knowledge using Machine Learning, data information capture using API and ETL, Customer data quality or Supply reporting.
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Drive compliance with Citi Data Control Standard through the successful adoption of Enterprise Chief Data Office (ECDO) mandated 14 data quality controls - assess current state data quality controls against ECDO mandated data quality controls and identify control gaps; create a plan to remediate control gaps; drive remediation of identified control gaps and record these controls in Manager's Control Assessment (MCA); establish ongoing monitoring of data quality controls.
$170,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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As a division of Quality and Safety, Data and Analytics (DnA) strives to empower NYC Health + Hospitals and its partners with data and digital tools, AI capabilities and insights to drive quality and performance improvements, support enterprise operations, and enhance patient outcomes.
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Collaborate with data scientists and analysts to understand data requirements and ensure data quality. Hands-on experience with AWS Data Migration Service (DMS), Apache AirFlow, MSK, Kinesis Firehose for seamless and secure data migration.
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The Technology and Data lead role is focused on Implementing coverage of Data / IT Compliance capabilities to drive data quality control obligations mandated by the Citi Data Governance Policy and Standard for safe and sound Model and End User Computing (EUC) landscape practices through a comprehensive first-line framework, and governance and controls activities, including the formulation of the strategy across the Model and EUC Lifecycle.
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Any one of the data warehouses BigQuery, Redshift or Snowflake, developing data ingestion pipeline. Data visualization/analytics tools – at least one (1) of the following: Tableau, DataStudio, Looker, IBM Cognos or Business Objects.
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Data Governance Knowledge Skills Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality Ability to implement and enforce data governance standards.
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Salary: Data Entry Work from Home - Part Time Computer Job. Data Entry Computer Job - Work from Home Part Time. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Strong technical proficiency to contribute to the quality engineering and data engineering tasks in AWS and Databricks ecosystem. Your role as a Data Engineer-Testing: The Quality Engineer within the Markets Technology Function is responsible for overall quality assurance and testing of IT solutions.
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As a Data Quality and Governance Engineer, you will apply your intellectual curiosity and passion for problem solving to dig into our mammoth scale of data to help unleash the power of real estate data analytics by managing, imagining, developing, overseeing and maintaining Power BI Semantic Data Models that our JLL data users can rely on.
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They build mission-critical facilities for data center facilities nationwide for Enterprise, Colocation and Hyperscale Companies. General Superintendent – Data Center Construction – Ashburn, VA.
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data quality jobs Title: enterprise architect Company: Pwc in New York, NY
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