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Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica. Ability to lead large scale data projects in a cloud or cloud/ on premise hybrid model.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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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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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Must have hands on Snowflake, AWS and Airflow. Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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Minimum of 7 years experience as an HR Systems Analyst, with at least three years of hands-on experience administering, configuring, and customizing SAP SuccessFactors modules. Provide ad-hoc analysis and data-driven recommendations on various HR initiatives, such as employee engagement, talent development, and succession planning.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Working knowledge and/or hands on fraud detection experience with card products, card processors, card networks, and one or more fraud rule systems such as Defense Edge, FDWC, Falcon Expert, Tsys Card Guard, Tsys Determinator, Broadcom 3DS, Token Administration, Visa Risk Manager.
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Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. Immediate need for a talented AWS Architect (Hands on coding experience must.
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The Critical Care Transport Nurse transports patients from Critical Cares areas (focus on 7th and 8th floors) to the imaging departments, to decrease delays in procedures and keep nursing staff on the floor.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Create conversion scripts based on data mapping documentation. Candidate must have experience in the areas of migrating Data and portfolios from one platform onto Loan IQ. They are consolidating loan data from the donor applications like ACBS, AFS and other lending application onto Loan IQ.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Take ownership of a vertical’s operational excellence, taking a hands-on approach to the resolution of the vertical’s most complex issues when needed. Experience with data engineering technologies such as Kafka, Airflow, Databricks, S3, Spark or Flink.
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data science hands on background investigations jobs in Atlanta, KY, United Kingdom
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