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The QuickBase Applications Developer ensures successful implementation of QuickBase software technology within CBH for data capture, workflow management, and other internal CBH and external CBH partner applications.
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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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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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This role is critical in harnessing the power of Big Data, Lakehouse, Data Virtualization, Transformation and Integration technologies to enhance our product offerings and drive business growth.
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Ability to code with scripting languages such as Python, Bash, groovy etc.,Experience with Container Orchestration platforms such as Docker, Kubernetes etc.,Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Capable of performing modeling and display building tasks for DMS. Experience and skills in Alstom Grid/Client Habitat and database modeling environment, Alstom Grid/Client Display Builder, Alstom Grid/Client e-terraSource, Alstom Grid/Client Substation Editor.
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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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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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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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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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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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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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It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. with dependency mapping- Data analysis and data modeling- Strong experience in Python, SQL, shell scripting- Experience interacting with APIs, SFTP, Cloud Storage locations (eg.
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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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At least 1 year of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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big data jobs Title: developer Company: Walt Disney in Philadelphia, PA
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