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Work with Global Risk stakeholders to ensure their data quality requirements are met and ensure that data quality issues originating from Consumer business processes are remediated in a timely manner in support of policy compliance objectives, employing the knowledge of data processing and quantitative techniques and hands on experience of Data Quality Metadata Management tools: Collibra Catalog, Metadata Hub, Data Lineage Tool Solidatus.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance.
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Seven (7) or more years of hands-on professional experience using tools such as Informatica PowerCenter or Informatica Data Quality to export, transform and load data from source databases (e.g., Oracle) and flat files into the Informatica MDM landing tables.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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BWXT is currently seeking a Quality Data Analyst (Engineer) for its Lynchburg, VA location! Understanding of data handling (Excel queries, pivot tables, Access, Power BI) is preferred.
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Experience with SAP ERP systems – OTC, Finance, Master Data is preferred Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred Strong dedication to code quality, automation and operational excellence using CI/CD pipelines and unit/integration tests.
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Description Quality Assurance RN - Administration, Providence Holy Family Hospital Spokane, WA Under the supervision of the Revenue Integrity Manager, the Clinical Data Reviewer (RN) improves data quality and appropriately risk stratify the populations in value based contracts and provide better patient care by reviewing medical records to determine if there are any gaps in documentation.
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At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. For more information on benefits by country visit: Diversity, Equity, and Inclusion at S&P Global:At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Job Description: Title: Data Engineer Location: On-Site in Arlington, VACitizenship/Clearance Requirement: US Citizen with an active TS/SCI Clearance requiredJob Description: Our client is seeking experienced Data Engineers to join their Advana team.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Experience in implementing data quality management processes, data governance, cataloging, and master data management principles.
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Build processes to help identify and improve data quality , consistency and effectiveness. Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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hands data quality jobs Title: data engineer Company: S P Global in Columbia, Missouri
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