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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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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Job Duties Administers and records tests to obtain diagnostic data on condition of heart Assists physician with diagnostic and interventional catheterizations Performs diagnostic echocardiography studies Training Job training for a cardiovascular specialist requires 10 weeks of Basic Combat Training and two phases of Advanced Individual Training.
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Develop new custom QuickBase applications to meet the various business needs, focusing on data capture applications with the understanding that the data will be governed and will need to eventually be consumed by a CBH reporting database layer and/or CBH Data Warehouse environment.
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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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ERM is looking for a motivated, detail-oriented Consulting Associate, Environmental Geology/Engineering (Entry Level) to join our growing team in Princeton, NJ (office in Ewing, NJ) or Philadelphia (Malvern), PA.Working under the direction of professional engineers, project managers, and partners, you will work on challenging remediation projects throughout the Mid-Atlantic area, as well as across the US and global locations.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Knowledge of the structure and roles within the risk function at a bank, capital markets organization or broker-dealer, including execution and oversight processes, risk assessment, reporting, controls, testing, and data analytics.
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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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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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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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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. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Knowledge of LTE (EPC) packet data core, Policy/charging and QoS enforcement in packet data networks, and services including RCS or VoLTE. Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries.
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data entry jobs Title: customs broker in Philadelphia, ID, Maine
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