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This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin, while also contributing to ML Ops. Responsibilities: Design, build and configure a highly scalable and robust data platform on Azure and Databricks.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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Lead Software Engineer, Full Stack (Enterprise Data) Enterprise Data is hiring a Lead Software Engineer! New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer.
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These include, for example, data from the Army, Department of Defense, Veterans Affairs, Social Security Administration, credit bureaus, and the National Student Clearinghouse. Research Analysts in this position work with PhD economists to conduct empirical research on topics in labor and public economics using administrative data from government, non-profit, and private sources.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
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Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
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Support Sales Data Lead with data reconciliations and audits. The Sales Data Coordinator will be responsible for US distributor reported data integrity and sales related master data.
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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Support CRFs development, data mapping specifications, DVP, DMP, and data transfer specifications and tests EDC system functionalities. Knowledge of CDISC data standards, preferably with experiences of hands-on implementation.
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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) ODDA team is being built under Chief Growth officer organization and is led by Global VP Data Analytics & Insights.
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The Warehouse Lead is responsible for all duties of the Warehouse Associate as well as providing back-up to the Service Center Manager and/or Service Center Supervisor. Other duties as assigned by Warehouse Lead, Service Center Supervisor and/or Service Center Manager.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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From environmental planning, permitting, remediation, and site characterization to chemical data management and hydrogeology, Kleinfelder offers a variety of services designed to provide technically appropriate and cost-effective solutions.
$34.44 - $57.4 an hourFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Expertise in Python, R, SQL, statistics, data mining. 12+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Title: lead data Company: Valence Media
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