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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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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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As a Trauma Registrar, you must be comfortable with interpreting medical clinical data and with advanced computing and data analysis skills. As a Trauma Registrar RN, you will be responsible for overseeing the trauma registry database to include patient identification, abstraction, coding and entering data; retrieval and presentation of registry data for quality improvement, education and research.
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We are interested in scholars with a background in data science, computational social science, computational linguistics, societal computing, or other related areas and are doing research on the intersections of critical theory and policy studies.
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The ideal candidate must be hands-on and will have a strong background in data engineering, with proven experience in developing and deploying large-scale data solutions in a cloud environment, must be metrics-focused and obsessed with Cloud native and DevOps technologies.
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Stay abreast of emerging technologies and trends in martech, API development, cloud computing, and data engineering to drive innovation and improve martech capabilities. Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Must have : Experience with GCP and Azure Service (GKE, Cloud functions, VPC, Storage and various computing/storage/logging/other services) Must have : Experience with Jenkins, ADO, Cloud build, Artifact registry, Google cloud deployment.
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Works with highly matrixed team of IS personnel to support enterprise architecture and information security operations including, but not limited to, architecture and InfoSec principles around identity & access management models, cloud identify management providers, security information and event monitoring, and data loss prevention, perimeter (e.g. firewalls, IPS, web filtering), cloud and virtualization environments and network security (host-based firewalls, anti-virus, disk encryption.
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Develops advanced analyses and reports for client matters using analytical tools such as MS Excel, MS Access, SQL, Power BI, Qlik and other big data analytical tools. Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with offices in strategic hubs of commerce, law, and government across North America, Asia, Europe, and the Middle East, is seeking to hire a Practice Group Data Analyst to assist across practice groups with the development of business analyses utilizing technical platforms that allow case teams to gain an accurate, detailed, and nuanced understanding of data relevant to client matters and our clients' businesses.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Comfortable working with unstructured and semi-structured data (Web scraping). As a Principal Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
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Possessing experience with Oracle Cloud Risk Management Cloud (RMC) design, implementation or assessment experience including Advanced Access Controls (AAC), Advanced Financial Controls (AFC) and Financial Reporting Compliance (FRC.
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big data cloud computing jobs Title: data scientist Company: All It Solutions in Philadelphia, PA
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