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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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Global Supply toward 'Industry 4.0' capability through Big Data, Process Analytical Technology, Advanced Process Control, Artificial Intelligence and Robotics. Familiarity with data science, machine learning and artificial intelligence.
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Our U.S. Texas and lower central region Planning & Asset Management business has seen consistent growth driven by our clients' needs to address challenges stemming from population growth, aging infrastructure, system reliability and resilience concerns, the need to improve operational efficiency, water quality regulations, integration of water and wastewater systems, and the use of big data to help guide decision making.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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This position is located at Matt's Big Breakfast inside Phoenix Sky Harbor, which is a breakfast restaurant that is open all day! We have an opening for a Restaurant Manager at Matt's Big Breakfast.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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The Fabric Customer Advisory Team (CAT) is hiring a Senior Program Manager , who has deep hands-on technical experience with big data analytics solution implementations with Apache Spark & Lakehouse architecture.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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They will also work closely with their peer VP, Infrastructure and Operations partner to ensure effective data backups and restoration is consistent with best practices (inclusive of disaster recovery and business continuity.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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Join Takeda as a Lead Data Engineer RDBU where you will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support the Rare Disease Business Unit. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and the RDBU I&A teams to deliver and maintain effective solutions and help drive adoption.
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Experience with Azure Databricks for an enterprise Data Lake. Very good working experience of T-SQL. Proficiency in complex stored procedures, User Defined Functions (UDF), and query optimization.
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big data jobs Company: Hilti in WA, Massachusetts
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