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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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The Investment Banking Analyst is an essential part of the banking team and will primarily prepare valuation analyses, conduct market research, and manage data. Identify potential buyers, investors, or targets for each engagement and manage transaction data logistics.
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They will work on eDiscovery project(s) involving electronic data processing, data quality control, electronic document hosting and analysis using proprietary, cutting edge forensic utilities and should display good understanding of eDiscovery project life cycle.
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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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We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. Our family of brands are Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn teen, pottery barn kids, Rejuvenation, Mark & Graham, west elm, or Outward.
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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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Configuration of data management, visualisation, and analytical platforms in support of DnA service delivery including Azure Databricks / Delta Lake and Synapse, SQLServer, Analysis Services / PowerBI. Put in place automated processes to reduce effort for colleagues in setup and maintenance of data platforms.
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Tracing cabling, data, fiber optic multi conductor twisted pair. Supporting maintenance of the electrical equipment and power/distribution systems (service, switchgear, transformers, generators, ATS, UPS, power panels, lighting, grounding and bonding, motor control centers, fire alarm, communications, CCTV, access control, and security.
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Ensure HRIS compliance with federal, state, and local regulations, including GDPR, HIPAA, and other data protection laws. Imagine yourself overseeing a cutting-edge HRIS infrastructure, ensuring impeccable data accuracy, and transforming HR processes with innovative system enhancements.
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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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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Use data to evaluate and review the overall effectiveness of the Online Learning program, including but not limited to: regularly surveying students and faculty; review student retention rates, analyze data to ensure sufficient online student support services, and guarantee local, state, and federal compliance in online, hybrid, and HyFlex courses.
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Ensures implementation of best practices related to electronic data transmission, storage, HIPAA, information security standards, data archiving practices, records management, and other aspects of electronic data management.
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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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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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big data jobs Company: Intuit in Philadelphia, PA
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