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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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7+ years of experience in application development including Python, SQL, Scala, or Java. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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As a Capital One Lead FinOps Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. New York City (Hybrid On-Site): $197,400 - $225,300 for Lead Data Engineer.
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Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
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You will develop highly efficient Microservices on a Linux operating system utilizing Java and Kotlin, for use in Docker/Kubernetes high-volume data-processing applications, while practicing modern Agile methodologies.
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The Mission of Sanofi's MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers; engaging in mutual scientific exchanges to accelerate data dissemination.
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Using advanced techniques like Computational Fluid Dynamics (CFD), you will collaborate closely with our data center design and construction teams as well as internal and external stakeholders, helping to design and efficiently operate OCI and Oracle data centers.
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Must have technologies: Java, Mongo DB, Elastic Search, Solr, Content/Document Management. The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Software Engineering, System Engineering, Data & Analytics, DSP Engineering, Intelligence Solutions, embedded development, FPGA, defense contractor, active techniques, radio frequency, java, System administration, and GUI.
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FileCabinet SWE2 position (mostly backend Java development) with content management, documentation management experience. -Cloud Experience: Shall have three (3) years demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc.
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Java Spring Boot, Spring, Maven, Docker, RESTful Services, XML, JSON, MongoDB, Kubernetes/Rancher, Kafka, Python and Amazon S3. As a Software Engineer you will develop, maintain, and enhance complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Underseas projects use a variety of state of the art software tools, including Yockto Project or similar full-system embedded Linux build tools, Qt, Jenkins, Docker, Java, javascript, web app and network programming tools.
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With MTSI you will design and curate data representation models, standards, and architectures in concert with data scientists, system engineers, and database engineers to enable a wide range of data query and analysis, data acquisition, data translation, and archive recovery activities.
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