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You will have the opportunity to work with the acknowledged leader in the field of liquid food packaging, Krones, Inc., via their subsidiary provider for these services, Process and Data Automation.
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Deep knowledge and experience with data warehouse platforms (such as Teradata, Snowflake, and Redshift). 7+ years of experience implementing modern data solutions using Cloud-based solutions and technologies - AWS developer environment including, but not limited to, Lambda, API Gateway, DynamoDB, S3, Cloudwatch.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Manage all aspects of patent-related work in support of the TTIPO Technology Transfer and Patent Specialist (TTPS) including: o prepare and route invention/patent filing recommendation packages for review,enter data, perform data quality checks, review and attach information relating to: patent-filing, patent annuities, procurement of patent legal services , patent workflow.
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Ability to build AWS cloud/Snowflake data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Dropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at Dropbox.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Lead the planning, design, and execution of the data migration strategy from Oracle Apps EBS Suite, SQL Server, SharePoint, and unstructured data sources to Microsoft Dynamics 365 CRM. in Alexandria, we are seeking the individual to lead our organization through a critical migration project, transitioning from Oracle Apps EBS Suite, SQL Server databases, SharePoint lists, and various unstructured data sources to Microsoft Dynamics 365 CRM. This role will require a blend of technical expertise, strategic planning, and team leadership to ensure a seamless, efficient migration process.
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Magnifi is seeking a Staff LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. Magnifi by TIFIN is changing the way consumers shop for investments by bringing trusted data, insights, and a world of investment opportunities right to their fingertips.
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Integrating and fielding a range of talents and personnel spanning the full landscape of data scientist skillsets: ETL, mathematics and modeling, data engineering, visualization and storytelling, platform integration and data analytics.
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
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ETL, data integration and data migration design and implementation, Hands on experience with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure.
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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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Design and implement end-to-end data solutions using Microsoft Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS), Azure Databricks, Power BI/Fabric. Utilize Azure Databricks to perform complex data transformation, aggregation, and machine learning tasks.
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The Data Center Manager is responsible for the overall management, operation, and security of the organization's data center facility. Peraton's DSCM program encompasses technical, engineering, data analytics, cyber security, management, operational, logistical, and administrative support to aid and advise DOS Cyber & Technology Security (CTS) Directorate.
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