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We also provide year-round online platforms where companies showcase their businesses and products and buyers conduct research, generating valuable leads, and we provide data and digital content that supports the flow of knowledge and transactions in markets.
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Garner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions; key technologies include SQL, Python, R, Tableau, Microsoft, and Google suite of tools.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
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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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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use, provide subject-matter expert opinion on model enhancement.
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The position will gather data specified by the program manager and CDFPC leadership and use this data to inform policy, allocation of resources, training, effective risk reduction strategies as well as communicate with the public in collaboration with the CDFPC Public Information Officer.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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If you are in the market for a new opportunity, JRD Systems is looking to hire a Lead Cloud/ Data engineer for Azure, that would be responsible for designing and implementing scalable, high-performance data engineering solutions using Azure Databricks and Azure Data Factory.
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Understanding of data modeling/visualization, database design principles, and data governance practices. Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
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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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The successful candidate will utilize their expertise in data visualization tools, particularly Microsoft Visio, Qlik Sense, and/or Microsoft Power BI, to ensure the effective organization and presentation of complex data for strategic decision-making.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement. Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today
Title: data Company: Informa Group Plc
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