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Have experience with the primary tools used for research services include, but are not limited to, Logistics Management Program, Vantage, Virtual Contracting Enterprise, General Fund Enterprise Business System ( GFEBS ), SAP Business Objects/Web Intelligence Reports, Microsoft SharePoint, Army-specific contract writing systems (Procurement Desktop Defense ( PD2 ) and Procurement Automated Data and Document System ( PADDS.
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Hands on experience of building data pipelines using Apache Spark (Azure Databricks), Scala. Hands on experience in designing and delivering solutions using the Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake.
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In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. Axient is seeking a Mid-Level Data Engineer to join our analytics team in Huntsville Alabama.
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As a lead cloud engineer for Azure, you will be responsible for designing and implementing scalable, high-performance data engineering solutions using Azure Databricks and Azure Data Factory.
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Experience working in the Virtual Research Data Center (VRDC) offered by CCW. ADVI Strategic Analytics and Value Economics (SAVES) is hiring for a full-time senior data scientist position.
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The Master Data Analyst is responsible for working with a cross functional team to set up new materials and maintain all fields and processes associated with them. 1+ years of SAP master data experience.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
$70,000 - $105,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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We are seeking a dedicated and skilled Data Center Technician to join our infrastructure engineering team. Industry and manufacturer-specific experience and/or certifications preferred (BICSI, Panduit, Commscope, Siemens, Corning, Leviton, Ortronics, etc.
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The Airborne Data Scientist will be primarily responsible for analyzing flight data from unmanned aerial vehicles (UAV) and manned aircraft flights with the ultimate objective to locate and quantify methane and other trace gas emissions.
$85,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Write sophisticated and efficient code to transform raw data sources into easily accessible models by coding across several languages and tools such as SQL, Python, Spark, Databricks, Airflow, Azure, AWS, etc.
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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
$72,100 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data platforms, such as Azure Databricks, Azure HDInsight, or Azure Stream Analytics. Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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Your expertise in experimental design, statistical methods, and data visualization will enable you to uncover actionable insights that contribute to our ongoing growth and success. As the Experimentation Data Scientist at Rokt, you will play a pivotal role in shaping the way we innovate, optimize, and make data-driven decisions across the organization.
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