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We are seeking a skilled Data Quality Engineer to join our team and play a critical role in ensuring the reliability, accuracy, and consistency of data within our warehouse and manufacturing data platform in the Client supply chain space.
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SKILLS: Senior Data Quality Assurance Engineer, Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop, Data Quality Testing, ETL Testing, ETL tools, Oracle, SQL Server, SOAP UI, Jenkins, AntHill Pro, Bamboo, Quality Center, Agile Central (Rally), Scoop, Hive, Pig, NoSQL.
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Support state capacity to improve maternal health and address maternal health disparities through quality services, a skilled workforce, enhanced data quality and capacity, and innovative programming that aims to reduce maternal mortality and severe maternal morbidity.
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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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Under the direction of the Information Leader, the Data Quality Analyst - Senior interacts with business stakeholders, gathers information, analyzes business and technical requirements, develops, tests and implements data-oriented solutions, in accordance with firm policies and procedures.
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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Experience with various data governance, catalog and quality tools such as Collibra, Informatica, SAP, BigID, and/or Microsoft Purview. The role requires a combination of leadership, expertise in data governance, and a commitment to driving continuous improvement in data quality and stewardship.
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Ensures vendor data quality is maintained to GPI Data Governance policies and procedures in SAP and other receiving systems using Information Steward and Data Services (ISDS) and other data quality management tools – the role serves as the ultimate “Gate Keeper” for vendor data quality.
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Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation.
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Prepare reports by collecting, analyzing and summarizing data through Microsoft Dynamics 365 (Business Central) and Power BI. - 5-8 years of experience in a manufacturing quality manager, quality supervisor, or senior quality engineering role.
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Create, refresh, communicate and implement enterprise data management concepts such as data governance, data quality, master data management, metadata management and lifecycle management.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Leverage a modern tool stack including Snowflake, Atlan, Fivetran, Docker, AWS, and Astronomer (Airflow) to cultivate an environment where analysts and data engineers can autonomously enact changes in an automated, thoroughly tested and high-quality manner.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Utilizing analytics techniques (e.g. regression, correlation, cluster analysis, data quality, classification, data mining, machine learning, data visualization) to discover, confirm, & document associations, predictive models, & algorithms.
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data quality jobs Title: data specialist Company: Pwc
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