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Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Strong understanding of data integration technologies, including Spark, Kafka, eventing/streaming, and Azure DataFactory.
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Hands-on experience with Databricks, Snowflake, Datalakes (S3), Data-Warehouses, and Databases. Solid understanding of data security principles, architectures, and services (AWS or Azure preferred.
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Build processes to help identify and improve data quality, consistency and effectiveness. Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Advises and works with the Neurosurgeon and Radiation Oncologist to produce individualizedtreatment plans which include all necessary dosimetry and technical data for Gamma Knifetreatments. Conducts monthly accelerator and Gamma Knife quality assurance.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our unique tools and services organize, store, and optimize content, including taxonomy, rights and asset management, analytics, and quality assurance. Strong understanding of PCI/PII security and data privacy requirements.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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Familiarity with Oracle and non-Oracle technical integration tools and platforms, including Oracle SOA and OIC, modern REST APIs, file transfer protocols, and real-time data streaming. Data Migration: Lead the migration strategy from Oracle E-Business Suite to Oracle Fusion Cloud ERP, ensuring alignment with business goals and technical feasibility.
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DEPARTMENTAL SPECIFIC DUTIES AND RESPONSIBILITIES:(In addition to the above listed duties and responsibilities, the Manufacturing Supervisor may have departmental specific duties and responsibilities as noted) Die Cast: (Reports to Plant Manager) Initiates changes in casting cycle times, lubrication of dies, preheating of dies, and/or process parameters to ensure the quality of the castings produced.
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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data quality jobs Title: data scientist in Atlanta, GA
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