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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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Experience with cloud platforms (e.g., AWS, Snowflake, Databricks) for large-scale data processing and model hosting. A minimum of 3 years in data science focused on Marketing, with extensive experience in developing Bayesian models for MMM/MTA.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Working knowledge of computer and software applications used in job functions (Order entry, data input). Responsibilities:The Licensed Vocational Nurse/Licensed Professional Nurse LVN / LPN is responsible for the direct and indirect nursing care of all patients ranging in age from 18 years to geriatric experiencing medically complex conditions, general medical-surgical conditions, with rehabilitation and/or wound care needs.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Data Warehousing (e.g., AWS Redshift, Google BigQuery) Apache Hadoop or Apache Spark (for big data processing) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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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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Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards. Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Data Manipulation Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. Utilization of embedding models and Vector DBs to transform and store natural language data.
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Data Center Modernization skills including, but not limited to: Data Center Facilities modernization, Data Center Migration, Data Center colocation, Data Center Consolidation, Data Center core networking concepts, etc.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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As a Data Center Power Engineer , you will focus on supporting and leading elements of the overall architecture, design, testing and implementation of electrical power systems for Modular Data Centers.
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
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Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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data entry jobs Title: data entry Company: Progressive in Texas
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