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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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Preferred Background:Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledgeStrong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc.
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This includes collaborating on a cohesive roadmap for data-related initiatives, encompassing data governance, data quality, data integration and data lineage.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Partner with the data governance team (and data steward) to ensure compliance with data privacy regulations and maintain data integrity, security, and confidentiality.
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Development, implementation, and maintenance of enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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The Guidehouse Team supports the OSE Data Governance Division by performing data quality, data metrics, data sharing, data governance, and data analysis initiatives as well as configuring and performing operations & maintenance on a COTS data governance tool.
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This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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Strong understating of data quality, data catalog, governance, ETL, data management, and related topics. The CAO Chief Data & Analytics Office (CDAO) Team is responsible for the overall data strategy, analytics, reporting, and governance across the firm’s CAO functions, which include Global Supplier Services, Global Security & Investigations, Global Real Estate, Global Business Resiliency, as well as Travel and Amenities Services.
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6 years’ experience in establishing and running any of the following programs: data management, data governance, data quality, metadata management, or master data management.
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Expertise with data profiling, data cleansing, data matching and/or other related data governance / management tools (like Informatica Data Quality Explorer, Talend Open Studio, Alteryx Designer, Data Cleaner, Dataiku DSS, RapidMiner, IBM Infosphere.
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DUTIES: AT&T Services, Inc., is seeking a Professional Big Data Engineer in Dallas, TX [and various work locations throughout the U.S.; may work from home] to define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the big data environment.
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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data.
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Continuous Deployment Tooling (e.g. ArgoCD, Argo Workflows, Spinnaker)Data Discovery and Governance Tooling (e.g. OpenMetadata, Alation, etc.) Design and Implement Data Mesh: Architect the design and implementation of our next-generation data platform and reference patterns following data mesh principles, primarily focused on provisioning, support, and governance of large-scale databases, data lakes, as well as streaming and batch processing infrastructure and pipelines.
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big data governance quality jobs Company: Capgemini
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