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We are looking for a Senior Data Scientist with wide-ranging analytics experience to work within a diverse operations business which includes Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology.
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Expertise in data engineering, data quality, data validation, ETL tools, Master Data Management, Metadata, data privacy and security. Establish policies and practices that improve user access to data while ensuring data quality, credibility, protection, and privacy through effective data governance.
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Utilize Talend for data integration and ETL processes, streamlining data workflows and ensuring data quality. Employ MSSQL Server/SSIS to perform data integration and transformation tasks, ensuring data consistency and integrity.
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Demonstrated expertise in Data Governance principles and practices (Data Stewardship, Data Security, Data Quality, Data Catalog, Data Use, Data Retention Policy, Master Data Management.
$155,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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7+ years of hands-on experience in building, integrating, or driving enterprise-level data architecture with Oracle data products, including Oracle OCI, Oracle EBS, and Oracle Fusion. Data pipeline: dbt, Azure Data Factory, Talend, and python.
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Transactional data systems: Oracle ERP and EPM systems, including Oracle EBS and Oracle Fusion, and SAP. Data systems: Snowflake and a few legacy data warehouses. Experience in system architecture, including standard data system design patterns, basic UNIX/network fundamentals, and designing/building data systems in the Cloud (Azure, AWS, or GCP.
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Maintains and reviews quality system records, documents and data. In this role you will be providing Quality Engineering support to Manufacturing, Sourcing, Operations, Engineering and Service departments at Franklin Park. The Quality Engineer is also responsible for assuring that processes, products and procedures demonstrate conformance and compliance with company standards, specifications and requirements.
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Implement solutions and processes for management and governance across data quality metrics, metadata, lineage, data access rights, and business definitions. 1+ years of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools.
$35 - $40 an hourFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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Ensure quality of critical data element, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines while ensuring optimal performance, security, and data quality. We are in search of a highly skilled Senior Data Engineer proficient in PySpark using Databricks or AWS Glue or AWS EMR, and experienced with cloud-based databases such as Snowflake.
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Experience with a widely-used investment portfolio management and data reporting tool such as Dynamo, Blackrock Aladdin/eFront, Bloomberg, Solovis, Caissa/Burgiss, and/or FactSet to measure the performance and risk of portfolios and to assist with the monitoring of current and prospective investments is required, although Dynamo-specific experience is not.
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Have deep knowledge of data reporting and regulatory/accreditation requirements, quality data, metrics, and reporting for surgeons, hospitals/health systems, and ambulatory surgery centers (ASCs.
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Bythorough u nd e r s tandingofthe b u s in es s a nd m a n u f acturing p roc e s s e s ,the segment quality engineer w illr e du c e s r e dunda n cyin p roc ess e sa n d p roc e dur es. · C u stomerCo m mun i catio n: R e pr e s e nt company a s w e e f f e cti v e lyco m m unicate w ithc u s to m e rs’ sales, quality and technical resources r e gar d ing s p e ci f i cation/contractr e quir e m e nt s ,ma n u f acturingand p roc e s scapa b il i ti e s , a nd q u es t i ons/complai n ts r e lat e dtoqualitysy s te m s , p roduct, p roc e s s e sordocu me ntation.
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Designing, developing, testing and implementing solutions for the data management functions including metadata, master data and data quality management, with SQL, C#, Power BI, Azure Data Factory, Logic Apps, Event Hub and other vendor platforms.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago
data quality jobs Title: data scientist in Chicago, IL
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