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Manage and optimize Apache Spark pools for high-performance data processing tasks. 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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Minimum of 5 years’ experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Leading and managing a set of engineering-driven initiatives from ideation through delivery to production of high impact digital transformation and platform modernization initiatives utilizing data engineering and AI/ML technologies, while optimizing Agile practices and methodologies to enhance speed, flexibility, and delivery efficiencyImplement robust data ingestion, processing, and distribution pipelines to ensure timely and accurate data availability across the organization.
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Role: Senior Data Engineer (Maximo) Location: United Kingdom (Remote, with office access) Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
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Firsthand healthcare industry experience with data & languages such as e.g., SQL, Python, R, SAS using Databricks solutions within the cloud (AWS or Azure). Experience using data visualization tools (e.g., Tableau, Databricks) to share ongoing insights.
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Designs and builds data processing pipeline using cutting-edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Utilize AI techniques to improve data processing, pattern recognition, and predictive capabilities. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio, D3.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Coordinating work efforts assigned to the Data Entry, Data Analyst and,Telecommunications Mechanics. o Managers’ Meetingso TSD / Data weekly meetingo TSD National meetingo FPS Regional Conference callso Alarm Monitor / Dispatcher Supervisory meetingso Corporate conference callso New hire selection processo Individual employee meetings.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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The Clinical Research Coordinator A will recruit and screen patients as outlined in research protocols, will coordinate all research visit activities for assigned projects (including processing and shipping blood and urine samples), and will assist in the maintenance of research records in compliance with IRB and HIPAA regulations.
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Familiarity with data analysis with statistical software such as R, Stata, or SAS and an interest in learning moreEducation Requirement: A bachelor’s degree in public health, social sciences, economics, data science, statistics, or a related field.
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1.2 Working knowledge of standard setting resources used in the Data Oncology field such as the American Joint Commission on Cancer (AJCC), NCI-SEER (National Cancer Institute-Surveillance, Epidemiology, and End Results Program), ACoS-Commission on Cancer (CoC), and New Jersey State Cancer Registry and the department Abstracting Guidelines.
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Your sense of ownership is needed as you take on responsibility for data compliance and data access honesty reporting for Refinitiv and direct relationship exchanges in Americas, managing Americas accrual inventory system including managing the accrual to allowable limits and reconciling and resolving accrual variance.
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data processing jobs Title: data engineer sr in Philadelphia, PA
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