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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 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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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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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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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Lead and establish robust enterprise-wide data governance practices, ensuring data quality, security, and compliance. Strong experience working on Databricks, DBT and data visualization tools like Power BI.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Partner with data science, data operations, engineering, and application product managers to design knowledge graph enrichments and data quality improvements through operations on customer data and user actions across the platform.
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Responsible for processing accurate and timely transactions and conducting Quality Assurance of inbound/outbound product orders. Conduct live production audits and make records of quality findings.
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Supports director in the responsibility of data quality relative to program evaluation and policy compliance on a range of single or multiyear contracts with various entities (DOHMH, DHS, HRA, HUD, VA, CARF, etc.
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Additionally, this role will actively participate in developing an entire Data Operations framework, will lead our Master Data strategy and will establish our data management operating model which will ensure the highest level of data quality across the firm.
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A baccalaureate degree from an accredited college or university and four years of data processing experience; two years of which must have been in internal control/quality assurance or computer science.
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Work with large data sets and build metrics to provide meaningful insights to leadership around Clinical Outcomes, Revenue Cycle Management, Finance, Business Development, and Marketing. Proficient in Excel (data manipulation, vlookup, index match.
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Specializing in research in high-quality instruction, critical or transformative education programs and practices, improving urban schools, or related areas of practice or policy, this position will meet the data and research needs of the Cornwall Center to advance the university’s anchor institution work.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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data quality jobs Title: informatica Company: Kforce Technology in New York, NY
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