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Strong understanding of data governance, data quality, and data security principles. Title: Data Quality Engineer. Ensure data quality and integrity by developing and implementing data validation and testing strategies.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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The QA Manager will coordinate, plan, schedule, lead, and resolve all types of Quality systems audits for the business. Awareness of quality principles and tools such as quality engineering, reliability engineering, Design of Experiments (DoE), management of change (MOC), document control systems, quality codes and standards.
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Provide roadmap for comprehensive unit and integration tests to ensure the quality and reliability of MuleSoft applications, MQTT-based communication protocols for real-time, efficient data exchange between diverse IoT devices and MuleSoft.
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Certifications in Information, Data, Privacy Records or Security such as: Certified Information Privacy Professional (CIPP), Certified Information Privacy Management (CIPM), Certified Records Manager (CRM), and/or Certified Information Privacy Technologist (CIPT), Certified Information Systems Security Professional (CISSP), Information Governance Professional (IGP), Certified Information Security Manager (CISM) and Certified Information Systems Auditor (CISA.
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The Senior supplier Quality Engineer (SQE) is responsible for helping develop communication standard processes with suppliers and ensuring the supplier implements defect prevention systems, continue to meet quality standards and adhere to processes.
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Good experience in ETL testing techniques such as data transformation validation, data profiling, data comparison, and data quality checks. Knowledge of data modeling, data warehousing, and data quality concepts and best practices.
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We’re doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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Build and facilitate machine learning across large scale systems and campaigns and ensure deployment and updates in partnership with data engineering. 7+ Years of experience in Data Engineering, Analytics and Machine Learning Systems.
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With the experience in Plastics Manufacturing and Food Packaging industry, use this knowledge to identify and solve potential quality and efficiency problems that can arise due to maintenance or design problems for all machinery including new and old plastic machinery equipment such as Thermoforming Machines, Printing Machines, Padder Machines, Food Packaging Machines, vacuum systems, conveyors, etc.
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Description :The Privacy and Data Protection Manager will be responsible for improving the Firm’s Data Loss Prevention (DLP) program, conducting and overseeing data egress investigations, supporting the Firm’s privacy incident and privacy breach response plans, and improving our data protection controls strategies.
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The iCOM-S system integrates with Vertiv cooling equipment and data halls to monitor performance data and communicate this information to facility Building Management Systems (BMS) and customer end users.
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quality systems data jobs Title: quality manager Company: Cbre in Dallas, TX
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