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This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management.
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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
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Configuring, implementing, troubleshooting)·Experience with security-related tools, firewalls, and data backup solutions (Fortinet, Veeam, NDR, SIEM)·Experience with supporting enterprise-level operational environments (alerting, troubleshooting, procedure creation, documentation, etc.
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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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The Cardiac Nurse will participate in the operational duties of the department, such as but not limited to:# Quality Improvement, Policy and Procedure maintenance, revising and development of billing, gathering of statistical data, developing departmental educational opportunities and participating in the on-going growth and maintenance of the excellent customer services provided to all that ECHN serves.
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Maintain accurate records of production and quality control data. Title: CNC Machinist Shift: 1st shiftType: Full time/Direct placement Pay: $25hr - $30hrAs a CNC Machinist in our Mold Fabrication department (CNC Milling) or Production department (CNC Lathes), you will play a crucial role in ensuring the quality and precision of our products.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs. You’ll use industry-leading technology and repair techniques, plus cutting-edge diagnostic equipment to get our customers' state-of-the-art vehicles back up and running in high-quality condition.
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ETL/Data integration/Streaming - Talend, DataBricks, Python, Spark, Kafka. Cloud Lake and Warehouse - Snowflake, S3 Data Lake, other comparable technologies. - Be an expert and drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics.
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Understanding of SAP Master Data related to planning - Material Master, Bills of Materials, Production Versions, Routing, APO master data, SAP CIF. We have an exciting remote opportunity for a Senior Manager - Digital Technology Production Planning Analyst.
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Support the RFP and RFI processes in all LTSS markets with participation in meetings and SME revisions with proposal writers and provide guidance to or participate in including orals presentations- Support NCQA recertification in all LTSS markets- Actively participate in SAI activities to identify and appropriately convert eligible members to LTSS products- Assure compliance with State contracted mandates for cost, quality, and care management initiatives.
$184,112.5 - $396,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certification as a Quality Inspector (e.g., ASQ Certified Quality Inspector) is a plus. Minimum of 5 years of experience as a Quality Inspector in the aerospace industry or a similar manufacturing environment.
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Prior practical experience and implementation of Quality Engineering tools and systems such as: DOE, FMEA, SPC, RCCA, APQP, PPAP, controls plans, material control, process control, systems performance, product evaluation, MSA, metrology, automated measurement, and software is preferred.
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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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data quality jobs Title: senior manager in Manchester, CT
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