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Knowledge of Azure tools and services centered around data and analytics (Data Lake, Data Factory, Azure Databricks, Azure SQL etc.) Experience with Master Data Management, Data Governance, and/or Enterprise Information Management.
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Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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The Embedded Software Engineer is responsible for the design and development of embedded computer applications running directly on an embedded microprocessor or on an embedded Linux platform that monitors and controls power systems for telecommunications, data center, and industrial applications.
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS/Delta V), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client’s facility.
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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Focus on data modeling, data quality, data integration, and data governance to optimize data storage, retrieval, and analysis.
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Well Versed with SAP IBP Supply and Response planning with Master Data, Key Figures, Planning areas, Operators, Heuristics and Optimizer planning etc. Experience of integrating other SAP and non-SAP tools to SAP IBP using CI-DS, CIF, RTI and other interfaces.
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Payment posting, Medical, Payment poster, Data entry, Medical billing, medicaid, Collection calls, Revenue cycle, outpatient, wound care, physical therapy, Accounts receivable, Cash postings, Collections customer service, 50 wpm, Medical insurance, Insurance follow up, Icd-10, Medical terminology, Claim, Medical claim.
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Preferably 5 days onsite in Plano TX, but can be open to hybrid Required Skills : PySpark ML, AWS, Databricks, TensorFlow or Pytorch Job Summary: We are seeking a highly skilled ML Engineer with 9 to 12 years of experience in Machine Learning, AWS, Spark, Data Science, and PySpark ML. The ideal candidate will drive digital transformation and data engineering initiatives, ensuring robust and scalable solutions that align with our company's strategic goals.
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Design, implement, and maintain Windows Server infrastructure for Actimize surveillance systems Ensure system security, compliance, and data integrity Monitor and optimize system performance, identifying and resolving issues.
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Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction. We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo.
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Key Roles and Responsibilities As a Sr. Big Data Software Engineer, you will:Produce batch and real time data pipelines for our network and NLP based use cases for our data scientists and other developersDevelop deep domain expertise and opportunities to expand your role into additional facets of data insights including modeling, extensive cloud-based environment architecting, and software development.
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Infosys is seeking an Azure and Snowflake Data Engineer. Experience in large scale cloud data migrations using technologies such as Snowflake, Python, Spark, Databricks. Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency.
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Minimum of 3 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), AWS Glue, Microsoft Azure Data Factory, IBM Infosphere DataStage, or any ETL applications.
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Strong understanding of network infrastructure and data center operations. Requirements:- Proven experience in data cable installation, specifically within data centers. The successful candidates will be responsible for installing and managing data cables to interconnect network switches within our data center frames.
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Coordinate field survey activities, including data collection, geospatial data processing, and quality assurance/control procedures. Utilize advanced geospatial software to analyze survey data and derive meaningful insights, and interpret survey data to create accurate maps, models, and reports for client deliverables.
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big data jobs Title: principal engineer in Richardson, TX
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