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Implement a data quality initiative to ensure quality and accuracy of regulatory reporting data. The successful candidate will be responsible for implementing a data quality initiative to ensure the quality and accuracy of regulatory reporting data.
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The Data Management Specialist will be responsible for managing and optimizing our organizations data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Executes both routine and non-routine business support tasks for the Coding Data Quality area under limited supervision, referring deviations from standard practices to managers. Assists senior level staff in providing recommendations for process improvement so that productivity and quality goals can be met or exceeded, and operational efficiency and financial accuracy can be achieved.
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Extensive knowledge and ability to contribute in the areas of professional quality standards, data privacy, data integrity and data governance. Critical Skills Proven quality, compliance, and audit experience Curious about existing processes and confident enough to implement improvements Advanced computer skills in MS Office, accounting software and databases Ability to manipulate large amounts of data and to compile detailed reports Proven knowledge of auditing standards and procedures, laws, rules, and regulations High attention to detail and excellent analytical skills Sound independent judgement.
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Performs Health Plan Employer Data Information Set data collection (HEDIS), and National Committee for Quality Assurance (NCQA) accreditation activities. OR Certified professional in Healthcare Quality (CPHQ) certificate, Academy for Health Care Management (AHM) certificate, Health Information Management (HIM) certificate, Certified Risk Adjustment Coder (CRC) certificate or other related experience.
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Meta is seeking a BMS Quality Manager to join our North American Data Center Design, Engineering & Construction team. Work with project level Construction Managers, QA/QC Site leads and General Contractor's to ensure creation, accuracy and maintenance of logic driven schedule for construction, commissioning, and packaged equipment BMS activities while leveraging this data to identify early finish dates for detailed design document delivery.
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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine) Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling.
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Preparing charts and statistics from flow and water quality data using softwares such as SAS/JMP, Power BI, ArcGIS or other statistical analysis packages and providing easily communicated.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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We are seeking a highly skilled and experienced Senior Data Architect specializing in Databricks technology to lead our efforts in configuring and deploying advanced data processing solutions.
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Technical experience in developing, implementing, and operating tools to include metadata, master data, reference data, data quality, data discovery and identification.
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Reliability Statistics, Reliability Verification, Semiconductor Device Physics, Semiconductor Equipment and Fabrication, Statistical Process Control, Statistics and Data Analytics, Data Mining, Defect Density Analysis, Defect Metrology, Design of Experiments (DOE) Principles, Design Validation, Fabrication Process, Failure Analysis, Failure Modes, Fault Isolation, Probability and Statistics, Quality and Reliability, Reliability Fundamentals Reliability Modeling and Measurement.
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Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality. Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
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Provide SME across data management domains, such as data governance, data strategy, data architecture, metadata management, data requirements, data engineering, data quality, and data integration.
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Heatcraft products are primarily used to preserve food and other perishables in supermarkets, convenience stores, restaurants, warehouses and distribution centers, in addition to other applications such as data centers, pharmaceutical and industrial process cooling.
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data quality jobs Title: data architect Company: Capgemini Holding
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